Project Description

Introduction

Understanding life expectancy, which refers to the average duration a person is projected to live, holds significance as it serves as a comprehensive measure of community well-being. Factors such as elevated infant mortality rates, increased occurrences of suicide, limited access to quality healthcare, and other determinants can contribute to lower life expectancies. In addition, life expectancy finds various applications in the financial domain, encompassing areas such as life insurance, pension planning, and Social Security benefits.

Life expectancy prediction is valuable for insurance businesses and bank loans because it allows them to assess risk and make informed decisions.Accurate life expectancy prediction enables businesses to make more precise risk assessments and pricing decisions. It helps them manage their financial exposure, align their products with the appropriate risk levels, and ensure the long-term sustainability of their operations.

Insurance Businesses:

  • Life Insurance: Life expectancy prediction helps insurance companies assess the risk associated with providing life insurance policies. By estimating life expectancy, they can determine the likelihood of a policyholder’s lifespan exceeding the policy term. This information allows insurers to set appropriate premiums and policy terms based on the individual’s life expectancy.
  • Annuities and Pension Plans: For annuities and pension plans, life expectancy prediction helps insurers calculate the expected payout duration. It allows them to estimate the length of time they will need to provide benefits, impacting the pricing and financial sustainability of these products.

Bank Loans:

  • Mortgage and Home Loans: Life expectancy prediction can be used to assess the risk associated with long-term loans such as mortgages. It helps lenders evaluate the probability of borrowers completing their loan terms based on their life expectancy. This information can influence loan approval decisions, interest rates, and loan terms.
  • Personal Loans: In cases where personal loans involve significant sums or extended repayment periods, life expectancy prediction can provide insights into the borrower’s ability to repay the loan. It helps lenders evaluate the risk of default or early termination due to the borrower’s life expectancy.

About the Dataset

The aim of this work is to analyze a dataset related to life expectancy. It contains data for 193 countries, in a span of 15 years, which has been collected from the WHO data repository website and its corresponding economic data was collected from United Nation website. We obtained this dataset from Kaggle and it is publicly available for educational purposes. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear regression, a more complete study of multiple linear regression and finally a binary classification problem.

We start our project by loading the dataset from the local drive to a dataframe.

## [1] "Dataset loaded."
## Number of rows:  2938 | Number of columns:  22

Let’s take a look at the Dataset:

kable(LifeExp) %>%
  kable_styling() %>%
  scroll_box(height = "300px")
Country Year Status Life.expectancy Adult.Mortality infant.deaths Alcohol percentage.expenditure Hepatitis.B Measles BMI under.five.deaths Polio Total.expenditure Diphtheria HIV.AIDS GDP Population thinness..1.19.years thinness.5.9.years Income.composition.of.resources Schooling
Afghanistan 2015 Developing 65.0 263 62 0.01 7.127962e+01 65 1154 19.1 83 6 8.16 65 0.1 5.842592e+02 3.373649e+07 17.2 17.3 0.479 10.1
Afghanistan 2014 Developing 59.9 271 64 0.01 7.352358e+01 62 492 18.6 86 58 8.18 62 0.1 6.126965e+02 3.275820e+05 17.5 17.5 0.476 10.0
Afghanistan 2013 Developing 59.9 268 66 0.01 7.321924e+01 64 430 18.1 89 62 8.13 64 0.1 6.317450e+02 3.173169e+07 17.7 17.7 0.470 9.9
Afghanistan 2012 Developing 59.5 272 69 0.01 7.818422e+01 67 2787 17.6 93 67 8.52 67 0.1 6.699590e+02 3.696958e+06 17.9 18.0 0.463 9.8
Afghanistan 2011 Developing 59.2 275 71 0.01 7.097109e+00 68 3013 17.2 97 68 7.87 68 0.1 6.353723e+01 2.978599e+06 18.2 18.2 0.454 9.5
Afghanistan 2010 Developing 58.8 279 74 0.01 7.967937e+01 66 1989 16.7 102 66 9.20 66 0.1 5.533289e+02 2.883167e+06 18.4 18.4 0.448 9.2
Afghanistan 2009 Developing 58.6 281 77 0.01 5.676222e+01 63 2861 16.2 106 63 9.42 63 0.1 4.458933e+02 2.843310e+05 18.6 18.7 0.434 8.9
Afghanistan 2008 Developing 58.1 287 80 0.03 2.587393e+01 64 1599 15.7 110 64 8.33 64 0.1 3.733611e+02 2.729431e+06 18.8 18.9 0.433 8.7
Afghanistan 2007 Developing 57.5 295 82 0.02 1.091016e+01 63 1141 15.2 113 63 6.73 63 0.1 3.698358e+02 2.661679e+07 19.0 19.1 0.415 8.4
Afghanistan 2006 Developing 57.3 295 84 0.03 1.717152e+01 64 1990 14.7 116 58 7.43 58 0.1 2.725638e+02 2.589345e+06 19.2 19.3 0.405 8.1
Afghanistan 2005 Developing 57.3 291 85 0.02 1.388648e+00 66 1296 14.2 118 58 8.70 58 0.1 2.529413e+01 2.577980e+05 19.3 19.5 0.396 7.9
Afghanistan 2004 Developing 57.0 293 87 0.02 1.529607e+01 67 466 13.8 120 5 8.79 5 0.1 2.191414e+02 2.411898e+07 19.5 19.7 0.381 6.8
Afghanistan 2003 Developing 56.7 295 87 0.01 1.108905e+01 65 798 13.4 122 41 8.82 41 0.1 1.987285e+02 2.364851e+06 19.7 19.9 0.373 6.5
Afghanistan 2002 Developing 56.2 3 88 0.01 1.688735e+01 64 2486 13.0 122 36 7.76 36 0.1 1.878459e+02 2.197992e+07 19.9 2.2 0.341 6.2
Afghanistan 2001 Developing 55.3 316 88 0.01 1.057473e+01 63 8762 12.6 122 35 7.80 33 0.1 1.174970e+02 2.966463e+06 2.1 2.4 0.340 5.9
Afghanistan 2000 Developing 54.8 321 88 0.01 1.042496e+01 62 6532 12.2 122 24 8.20 24 0.1 1.145600e+02 2.937560e+05 2.3 2.5 0.338 5.5
Albania 2015 Developing 77.8 74 0 4.60 3.649752e+02 99 0 58.0 0 99 6.00 99 0.1 3.954228e+03 2.887300e+04 1.2 1.3 0.762 14.2
Albania 2014 Developing 77.5 8 0 4.51 4.287491e+02 98 0 57.2 1 98 5.88 98 0.1 4.575764e+03 2.889140e+05 1.2 1.3 0.761 14.2
Albania 2013 Developing 77.2 84 0 4.76 4.308770e+02 99 0 56.5 1 99 5.66 99 0.1 4.414723e+03 2.895920e+05 1.3 1.4 0.759 14.2
Albania 2012 Developing 76.9 86 0 5.14 4.124434e+02 99 9 55.8 1 99 5.59 99 0.1 4.247614e+03 2.941000e+03 1.3 1.4 0.752 14.2
Albania 2011 Developing 76.6 88 0 5.37 4.370621e+02 99 28 55.1 1 99 5.71 99 0.1 4.437179e+03 2.951950e+05 1.4 1.5 0.738 13.3
Albania 2010 Developing 76.2 91 1 5.28 4.182276e+01 99 10 54.3 1 99 5.34 99 0.1 4.943588e+02 2.913210e+05 1.4 1.5 0.725 12.5
Albania 2009 Developing 76.1 91 1 5.79 3.480560e+02 98 0 53.5 1 98 5.79 98 0.1 4.114137e+03 2.927519e+06 1.5 1.6 0.721 12.2
Albania 2008 Developing 75.3 1 1 5.61 3.662207e+01 99 0 52.6 1 99 5.87 99 0.1 4.375396e+02 2.947314e+06 1.6 1.6 0.713 12.0
Albania 2007 Developing 75.9 9 1 5.58 3.224655e+01 98 22 51.7 1 99 6.10 98 0.1 3.631368e+02 2.971700e+04 1.6 1.7 0.703 11.6
Albania 2006 Developing 74.2 99 1 5.31 3.302154e+00 98 68 5.8 1 97 5.86 97 0.1 3.512930e+01 2.992547e+06 1.7 1.8 0.696 11.4
Albania 2005 Developing 73.5 15 1 5.16 2.699312e+01 98 6 49.9 1 97 6.12 98 0.1 2.791429e+02 3.114870e+05 1.8 1.8 0.685 10.8
Albania 2004 Developing 73.0 17 1 4.54 2.218428e+02 99 7 48.9 1 98 6.38 97 0.1 2.416588e+03 3.269390e+05 1.8 1.9 0.681 10.9
Albania 2003 Developing 72.8 18 1 4.29 1.471929e+01 97 8 47.9 1 97 6.27 97 0.1 1.896816e+02 3.396160e+05 1.9 2.0 0.674 10.7
Albania 2002 Developing 73.3 15 1 3.73 1.045169e+02 96 16 46.9 1 98 6.30 98 0.1 1.453643e+03 3.511000e+03 2.0 2.1 0.670 10.7
Albania 2001 Developing 73.6 14 1 4.25 9.620557e+01 96 18 46.0 1 97 6.00 97 0.1 1.326973e+03 3.617300e+04 2.1 2.1 0.662 10.6
Albania 2000 Developing 72.6 11 1 3.66 9.171154e+01 96 662 45.0 1 97 6.26 97 0.1 1.175789e+03 3.892700e+04 2.1 2.2 0.656 10.7
Algeria 2015 Developing 75.6 19 21 NA 0.000000e+00 95 63 59.5 24 95 NA 95 0.1 4.132763e+03 3.987153e+07 6.0 5.8 0.743 14.4
Algeria 2014 Developing 75.4 11 21 0.01 5.423732e+01 95 0 58.4 24 95 7.21 95 0.1 5.478517e+02 3.911331e+07 6.0 5.8 0.741 14.4
Algeria 2013 Developing 75.3 112 21 0.53 5.444507e+02 95 25 57.2 24 95 7.12 95 0.1 5.471867e+03 3.833856e+07 5.9 5.8 0.737 14.4
Algeria 2012 Developing 75.1 113 21 0.66 5.559261e+02 95 18 56.1 24 95 6.14 95 0.1 5.564826e+03 3.756585e+07 5.9 5.8 0.732 14.4
Algeria 2011 Developing 74.9 116 21 0.56 5.090020e+02 95 112 55.0 24 95 5.29 95 0.1 5.432252e+03 3.681956e+07 5.9 5.8 0.724 14.0
Algeria 2010 Developing 74.7 119 21 0.45 4.307176e+02 95 103 53.9 24 95 5.12 95 0.1 4.463395e+03 3.611764e+07 5.9 5.8 0.714 13.6
Algeria 2009 Developing 74.4 123 20 0.50 3.520636e+02 94 107 52.8 23 94 5.36 95 0.1 3.868831e+03 3.546576e+06 6.0 5.9 0.705 13.1
Algeria 2008 Developing 74.1 126 20 0.46 4.308717e+01 91 217 51.8 23 92 4.20 93 0.1 4.952549e+02 3.486715e+06 6.0 5.9 0.697 12.6
Algeria 2007 Developing 73.8 129 20 0.44 3.203239e+02 9 0 5.8 23 95 3.82 95 0.1 3.935183e+03 3.437600e+04 6.0 5.9 0.690 12.3
Algeria 2006 Developing 73.4 132 20 0.36 2.702402e+02 8 944 49.8 23 95 3.36 95 0.1 3.464618e+03 3.377792e+07 6.1 6.0 0.686 12.3
Algeria 2005 Developing 72.9 136 19 0.50 2.548923e+00 83 2302 48.9 22 88 3.24 88 0.1 3.112238e+01 3.328844e+07 6.1 6.0 0.680 12.0
Algeria 2004 Developing 72.3 14 19 0.45 2.203937e+02 81 3289 47.9 23 86 3.54 86 0.1 2.598982e+03 3.283196e+06 6.2 6.1 0.673 11.7
Algeria 2003 Developing 71.7 146 20 0.34 2.501852e+01 NA 15374 47.0 23 87 3.60 87 0.1 2.943356e+02 3.243514e+06 6.3 6.1 0.663 11.5
Algeria 2002 Developing 71.6 145 20 0.36 1.485120e+02 NA 5862 46.1 23 86 3.73 86 0.1 1.774337e+03 3.199546e+06 6.3 6.2 0.653 11.1
Algeria 2001 Developing 71.4 145 20 0.23 1.479861e+02 NA 2686 45.3 24 89 3.84 89 0.1 1.732858e+03 3.159215e+07 6.4 6.3 0.644 10.9
Algeria 2000 Developing 71.3 145 21 0.25 1.544559e+02 NA 0 44.4 25 86 3.49 86 0.1 1.757178e+03 3.118366e+06 6.5 6.4 0.636 10.7
Angola 2015 Developing 52.4 335 66 NA 0.000000e+00 64 118 23.3 98 7 NA 64 1.9 3.695794e+03 2.785935e+06 8.3 8.2 0.531 11.4
Angola 2014 Developing 51.7 348 67 8.33 2.396561e+01 64 11699 22.7 101 68 3.31 64 2.0 4.793122e+02 2.692466e+06 8.5 8.3 0.527 11.4
Angola 2013 Developing 51.1 355 69 8.10 3.595857e+01 77 8523 22.1 105 67 4.26 77 2.3 4.846169e+02 2.599834e+06 8.6 8.5 0.523 11.4
Angola 2012 Developing 56.0 358 72 8.24 2.561225e+02 75 4458 21.5 110 75 3.30 75 2.6 4.598250e+03 2.596150e+05 8.8 8.6 0.508 10.3
Angola 2011 Developing 51.0 361 75 8.06 2.398914e+02 72 1449 21.0 115 73 3.38 71 2.5 4.299129e+03 2.421857e+07 8.9 8.8 0.495 9.4
Angola 2010 Developing 49.6 365 78 7.80 1.916537e+02 77 1190 2.4 121 81 3.39 77 2.5 3.529535e+03 2.336913e+07 9.1 9.0 0.488 9.0
Angola 2009 Developing 49.1 369 81 7.01 2.129229e+02 61 2807 19.8 127 63 4.37 6 2.5 3.347845e+03 2.254955e+07 9.3 9.2 0.480 8.5
Angola 2008 Developing 48.7 371 84 7.07 2.499102e+02 69 265 19.3 133 65 3.84 69 2.6 3.868579e+03 2.175942e+06 9.5 9.4 0.468 8.1
Angola 2007 Developing 48.2 375 87 6.35 1.848213e+02 73 1014 18.8 138 75 3.38 73 2.6 2.878837e+03 2.997687e+06 9.6 9.6 0.454 7.7
Angola 2006 Developing 47.7 381 90 5.84 2.508689e+01 NA 765 18.2 143 36 4.54 34 2.5 2.624151e+02 2.262399e+06 9.8 9.7 0.439 7.2
Angola 2005 Developing 47.4 382 92 5.04 9.819145e+01 NA 258 17.7 148 39 4.10 38 2.6 1.443992e+03 1.955254e+07 1.0 9.9 0.426 6.8
Angola 2004 Developing 47.1 386 94 3.53 8.866777e+00 NA 29 17.2 152 4 4.71 4 2.5 1.418684e+02 1.886572e+07 1.2 1.1 0.415 6.4
Angola 2003 Developing 46.8 388 95 3.49 3.593349e+01 NA 1196 16.8 155 4 4.41 4 2.4 7.794684e+02 1.823369e+06 1.4 1.3 0.406 5.9
Angola 2002 Developing 46.5 391 96 2.82 2.403794e+01 NA 11945 16.3 157 37 3.63 41 2.3 7.111817e+02 1.757265e+07 1.5 1.5 0.401 5.5
Angola 2001 Developing 45.7 44 97 2.58 3.035994e+01 NA 9046 15.8 159 41 5.38 38 2.1 5.261687e+02 1.698327e+07 1.7 1.7 0.391 5.1
Angola 2000 Developing 45.3 48 97 1.85 1.588149e+01 NA 2219 15.4 160 3 2.79 28 2.0 5.552969e+02 1.644924e+06 1.9 1.9 0.382 4.6
Antigua and Barbuda 2015 Developing 76.4 13 0 NA 0.000000e+00 99 0 47.7 0 86 NA 99 0.2 1.356695e+04 NA 3.3 3.3 0.784 13.9
Antigua and Barbuda 2014 Developing 76.2 131 0 8.56 2.423000e+03 99 0 47.0 0 96 5.54 99 0.2 1.288830e+04 NA 3.3 3.3 0.782 13.9
Antigua and Barbuda 2013 Developing 76.1 133 0 8.58 1.991430e+03 99 0 46.4 0 98 5.33 99 0.2 1.222486e+04 NA 3.3 3.3 0.781 13.9
Antigua and Barbuda 2012 Developing 75.9 134 0 8.18 2.156230e+03 98 0 45.7 0 97 5.39 98 0.2 1.256544e+04 NA 3.3 3.3 0.778 13.8
Antigua and Barbuda 2011 Developing 75.7 136 0 7.84 1.810875e+03 99 0 45.1 0 99 5.65 99 0.1 1.192935e+04 NA 3.3 3.3 0.782 14.1
Antigua and Barbuda 2010 Developing 75.6 138 0 7.84 1.983957e+03 98 0 44.4 0 99 5.63 98 0.1 1.212688e+04 NA 3.3 3.3 0.783 14.1
Antigua and Barbuda 2009 Developing 75.4 14 0 7.82 1.493587e+02 98 0 43.8 0 98 4.86 99 0.1 1.312467e+03 NA 3.4 3.3 0.788 14.2
Antigua and Barbuda 2008 Developing 75.2 142 0 8.27 1.807763e+02 98 0 43.2 0 99 4.69 99 0.1 1.473319e+03 NA 3.4 3.3 0.786 14.4
Antigua and Barbuda 2007 Developing 75.0 144 0 8.64 2.579665e+02 97 0 42.6 0 98 4.27 99 0.1 1.425229e+04 NA 3.4 3.3 0.781 14.5
Antigua and Barbuda 2006 Developing 74.8 145 0 8.93 2.163147e+02 99 0 42.0 0 99 4.34 99 0.1 1.272439e+04 NA 3.4 3.4 0.773 14.7
Antigua and Barbuda 2005 Developing 74.6 147 0 8.15 1.455608e+03 99 0 41.4 0 98 4.41 99 0.1 1.137194e+04 NA 3.5 3.4 0.000 0.0
Antigua and Barbuda 2004 Developing 74.4 149 0 7.28 2.286295e+01 97 0 4.8 0 97 4.21 97 0.1 1.352837e+03 NA 3.5 3.4 0.000 0.0
Antigua and Barbuda 2003 Developing 74.2 151 0 7.16 1.158065e+03 99 0 4.1 0 99 4.53 99 0.1 9.739826e+03 NA 3.5 3.5 0.000 0.0
Antigua and Barbuda 2002 Developing 74.0 153 0 7.21 9.274076e+02 99 0 39.5 0 93 4.41 98 0.1 9.386716e+03 NA 3.6 3.5 0.000 0.0
Antigua and Barbuda 2001 Developing 73.8 154 0 7.51 1.637677e+02 96 0 38.9 0 99 4.48 97 0.1 9.358154e+03 NA 3.6 3.5 0.000 0.0
Antigua and Barbuda 2000 Developing 73.6 156 0 7.27 1.127743e+03 NA 0 38.2 0 96 4.13 95 0.1 9.875162e+03 NA 3.7 3.6 0.000 0.0
Argentina 2015 Developing 76.3 116 8 NA 0.000000e+00 94 0 62.8 9 93 NA 94 0.1 1.346712e+04 4.341777e+07 1.0 0.9 0.826 17.3
Argentina 2014 Developing 76.2 118 8 7.93 8.473717e+02 94 1 62.2 9 92 4.79 94 0.1 1.224526e+04 4.298152e+07 1.0 0.9 0.825 17.3
Argentina 2013 Developing 76.0 119 8 8.28 1.001796e+03 94 0 61.6 10 99 4.99 94 0.1 1.297664e+04 4.253993e+07 1.0 0.9 0.823 17.3
Argentina 2012 Developing 75.9 12 9 8.35 1.133558e+03 91 2 61.0 10 99 5.20 91 0.1 1.296977e+04 4.296739e+06 1.0 0.9 0.822 17.2
Argentina 2011 Developing 75.7 12 9 8.11 1.504329e+03 91 3 6.4 10 93 5.89 91 0.1 1.272698e+04 4.165688e+07 1.0 0.9 0.816 17.1
Argentina 2010 Developing 75.5 121 10 8.15 1.876110e+02 94 17 59.8 11 95 6.55 94 0.1 1.276265e+03 4.122389e+07 1.0 0.9 0.802 16.8
Argentina 2009 Developing 75.6 126 10 8.33 1.398043e+03 94 3 59.2 11 97 7.63 94 0.1 8.161370e+03 4.799470e+05 1.0 0.9 0.794 16.5
Argentina 2008 Developing 75.4 126 10 8.41 1.413735e+03 9 0 58.6 11 94 6.66 93 0.1 8.953359e+03 4.382389e+06 1.0 0.9 0.792 16.3
Argentina 2007 Developing 74.8 129 10 8.16 1.105659e+03 85 0 58.0 12 92 6.49 91 0.1 7.193618e+03 3.997224e+06 1.1 0.9 0.788 16.3
Argentina 2006 Developing 75.2 127 11 7.75 9.611775e+02 84 0 57.5 12 92 6.68 91 0.1 5.878761e+03 3.955889e+06 1.1 0.9 0.782 16.1
Argentina 2005 Developing 74.9 127 11 7.53 9.616653e+01 88 0 56.9 12 95 6.85 98 0.1 5.768838e+02 3.914549e+07 1.1 1.0 0.780 16.3
Argentina 2004 Developing 74.7 13 11 7.63 7.193664e+02 81 0 56.3 12 91 6.84 98 0.1 4.251574e+03 3.872870e+07 1.1 1.0 0.775 16.3
Argentina 2003 Developing 74.1 137 11 7.62 5.758467e+01 73 0 55.7 13 95 8.22 96 0.1 3.334376e+02 3.839379e+06 1.2 1.0 0.770 16.4
Argentina 2002 Developing 74.1 138 12 7.81 4.701869e+02 66 0 55.1 13 94 8.31 93 0.1 2.579193e+03 3.788937e+06 1.2 1.0 0.776 16.3
Argentina 2001 Developing 74.0 138 12 7.76 1.230129e+02 NA 0 54.6 13 85 9.38 83 0.1 7.176947e+02 3.747159e+06 1.2 1.1 0.771 15.6
Argentina 2000 Developing 74.1 137 12 7.68 1.349025e+03 NA 6 54.0 14 88 9.21 83 0.1 7.669274e+03 3.757452e+06 1.2 1.1 0.764 15.0
Armenia 2015 Developing 74.8 118 1 NA 0.000000e+00 94 33 54.9 1 96 NA 94 0.1 3.696548e+02 2.916950e+05 2.1 2.2 0.741 12.7
Armenia 2014 Developing 74.6 12 1 3.91 2.956087e+02 93 13 54.1 1 95 4.48 93 0.1 3.994712e+03 2.962200e+04 2.1 2.1 0.739 12.7
Armenia 2013 Developing 74.4 123 1 3.79 2.794291e+02 95 10 53.3 1 96 4.55 95 0.1 3.843591e+03 2.893590e+05 2.1 2.1 0.736 12.7
Armenia 2012 Developing 74.4 121 1 3.89 2.741527e+02 95 0 52.6 1 96 4.48 95 0.1 3.684848e+03 2.881922e+06 2.0 2.1 0.732 12.7
Armenia 2011 Developing 73.9 128 1 4.09 2.609964e+02 95 0 51.9 1 96 3.71 95 0.1 3.526978e+03 2.875581e+06 2.0 2.1 0.729 12.7
Armenia 2010 Developing 73.5 132 1 4.23 2.243212e+02 94 2 51.2 1 96 4.56 94 0.1 3.218382e+03 2.877311e+06 2.0 2.1 0.720 12.3
Armenia 2009 Developing 73.3 137 1 3.96 2.011855e+02 93 0 5.7 1 94 4.55 93 0.1 2.993833e+03 2.888584e+06 2.0 2.1 0.725 11.9
Armenia 2008 Developing 73.2 14 1 3.96 2.888898e+00 89 0 5.1 1 91 3.80 89 0.1 4.126997e+01 2.982200e+04 2.0 2.1 0.721 12.3
Armenia 2007 Developing 73.5 132 1 3.99 4.457220e+01 85 1 49.7 1 9 4.31 88 0.1 3.138887e+03 2.933560e+05 2.0 2.1 0.707 11.7
Armenia 2006 Developing 72.9 141 1 4.01 2.445353e+02 78 137 49.2 1 87 4.58 87 0.1 2.158299e+03 2.958500e+04 2.0 2.1 0.692 11.2
Armenia 2005 Developing 73.0 137 1 4.25 2.021823e+01 91 2281 48.8 1 92 5.25 9 0.1 1.643758e+03 2.981259e+06 2.0 2.1 0.679 10.9
Armenia 2004 Developing 73.0 132 1 3.81 9.774088e+01 91 1783 48.4 1 93 5.50 91 0.1 1.191962e+03 3.612000e+03 2.0 2.1 0.668 10.9
Armenia 2003 Developing 72.7 134 1 3.03 7.341493e+00 93 4 48.1 1 96 5.56 94 0.1 9.316616e+01 3.178600e+04 2.0 2.1 0.657 10.8
Armenia 2002 Developing 72.6 134 1 2.86 5.717810e+01 91 40 47.8 1 96 5.40 94 0.1 7.832617e+02 3.338970e+05 2.1 2.1 0.645 10.8
Armenia 2001 Developing 72.6 141 1 2.86 5.319373e+01 69 69 47.4 1 97 5.94 94 0.1 6.944351e+02 3.565500e+04 2.1 2.1 0.644 11.1
Armenia 2000 Developing 72.0 142 1 2.90 3.275627e+01 55 15 47.1 1 96 6.25 93 0.1 6.227427e+02 3.695880e+05 2.1 2.2 0.639 11.2
Australia 2015 Developed 82.8 59 1 NA 0.000000e+00 93 74 66.6 1 93 NA 93 0.1 5.655439e+04 2.378934e+07 0.6 0.6 0.937 20.4
Australia 2014 Developed 82.7 6 1 9.71 1.076936e+04 91 340 66.1 1 92 9.42 92 0.1 6.221469e+04 2.346694e+06 0.6 0.6 0.936 20.4
Australia 2013 Developed 82.5 61 1 9.87 1.173485e+04 91 158 65.5 1 91 9.36 91 0.1 6.779234e+04 2.311735e+07 0.6 0.6 0.933 20.3
Australia 2012 Developed 82.3 61 1 10.03 1.171500e+04 91 199 65.0 1 92 9.36 92 0.1 6.767763e+04 2.272825e+07 0.6 0.6 0.930 20.1
Australia 2011 Developed 82.0 63 1 10.30 1.098627e+04 92 190 64.4 1 92 9.20 92 0.1 6.224513e+04 2.234240e+05 0.6 0.6 0.927 19.8
Australia 2010 Developed 81.9 64 1 10.52 8.875786e+03 92 70 63.9 1 92 9.20 92 0.1 5.187485e+04 2.231750e+05 0.7 0.6 0.927 19.5
Australia 2009 Developed 81.7 66 1 10.62 7.172275e+03 94 104 63.4 1 92 9.50 92 0.1 4.274300e+04 2.169170e+05 0.7 0.6 0.925 19.1
Australia 2008 Developed 81.3 66 1 10.76 8.547292e+03 94 65 62.9 1 92 8.78 92 0.1 4.966469e+04 2.124920e+05 0.7 0.6 0.921 19.1
Australia 2007 Developed 81.3 66 1 10.56 8.725986e+02 94 11 62.5 2 92 8.53 92 0.1 4.991983e+03 2.827600e+04 0.7 0.6 0.918 19.0
Australia 2006 Developed 81.2 66 1 10.31 6.187062e+03 95 0 62.0 2 92 8.49 92 0.1 3.611828e+04 2.697900e+04 0.7 0.6 0.915 20.3
Australia 2005 Developed 81.0 67 1 10.30 5.791332e+02 95 10 61.5 2 92 8.45 92 0.1 3.416715e+03 2.394800e+04 0.7 0.6 0.910 20.3
Australia 2004 Developed 86.0 69 1 9.84 5.885684e+02 95 70 6.9 1 92 8.57 92 0.1 3.472380e+03 2.127400e+04 0.7 0.6 0.908 20.7
Australia 2003 Developed 83.0 71 1 9.97 3.829551e+03 95 91 6.3 1 92 8.32 93 0.1 2.346539e+04 1.989540e+05 0.7 0.7 0.905 20.6
Australia 2002 Developed 79.9 73 1 9.84 4.638718e+01 95 32 59.6 2 92 8.39 92 0.1 2.818176e+02 1.965140e+05 0.7 0.7 0.902 20.1
Australia 2001 Developed 79.9 75 1 9.53 3.064301e+03 94 141 59.0 2 91 8.18 92 0.1 1.951784e+04 1.941300e+04 0.7 0.7 0.899 20.5
Australia 2000 Developed 79.5 78 1 10.17 3.471874e+02 NA 108 58.2 2 9 8.80 9 0.1 2.169921e+03 1.915300e+04 0.7 0.7 0.897 20.4
Austria 2015 Developed 81.5 65 0 NA 0.000000e+00 93 309 57.6 0 93 NA 93 0.1 4.366595e+04 8.633169e+06 1.9 2.1 0.892 15.9
Austria 2014 Developed 81.4 66 0 12.32 8.350194e+03 98 117 57.1 0 98 11.21 98 0.1 5.132264e+04 8.541575e+06 1.8 2.0 0.892 15.9
Austria 2013 Developed 81.1 68 0 11.82 9.058501e+01 95 0 56.6 0 95 11.14 95 0.1 5.547153e+02 8.479375e+06 1.8 2.0 0.887 15.7
Austria 2012 Developed 88.0 7 0 12.26 7.878372e+03 92 36 56.1 0 92 11.17 92 0.1 4.833357e+04 8.429991e+06 1.8 2.0 0.884 15.7
Austria 2011 Developed 88.0 73 0 12.04 8.272307e+03 89 68 55.7 0 89 1.94 89 0.1 5.112674e+04 8.391643e+06 1.7 2.0 0.880 15.7
Austria 2010 Developed 84.0 75 0 12.10 7.423229e+03 86 52 55.2 0 86 11.17 86 0.1 4.665763e+04 8.363440e+05 1.7 1.9 0.872 15.4
Austria 2009 Developed 82.0 77 0 11.30 8.053558e+03 83 49 54.7 0 83 11.19 83 0.1 4.765419e+04 8.343323e+06 1.7 1.9 0.870 15.3
Austria 2008 Developed 84.0 76 0 12.00 8.329732e+03 83 448 54.2 0 83 1.60 83 0.1 5.138638e+04 8.321496e+06 1.7 1.9 0.864 15.1
Austria 2007 Developed 81.0 8 0 12.50 7.453864e+03 85 20 53.7 0 85 1.40 85 0.1 4.658665e+04 8.295487e+06 1.7 1.9 0.860 15.2
Austria 2006 Developed 79.8 81 0 12.40 6.992899e+01 83 23 53.2 0 83 1.35 83 0.1 4.439936e+02 8.268641e+06 1.7 1.9 0.854 15.0
Austria 2005 Developed 79.4 85 0 12.40 5.992588e+03 86 9 52.7 0 86 1.53 86 0.1 3.824243e+04 8.227829e+06 1.7 1.9 0.848 14.9
Austria 2004 Developed 79.3 86 0 12.10 5.316877e+03 83 15 52.2 0 83 1.56 83 0.1 3.669343e+04 8.171966e+06 1.7 1.9 0.841 14.7
Austria 2003 Developed 78.8 88 0 12.20 5.044309e+02 83 90 51.7 0 84 1.48 84 0.1 3.212936e+03 8.121423e+06 1.7 1.9 0.837 14.7
Austria 2002 Developed 78.7 9 0 12.50 3.979058e+03 81 0 51.2 0 82 1.27 83 0.1 2.635138e+04 8.819570e+05 1.7 1.9 0.847 16.1
Austria 2001 Developed 78.6 92 0 12.40 3.582848e+03 44 0 5.6 0 83 1.12 84 0.1 2.448974e+04 8.422930e+05 1.7 1.9 0.837 15.5
Austria 2000 Developed 78.1 96 0 13.20 3.557456e+03 33 0 5.1 0 71 1.60 81 0.1 2.451727e+04 8.115660e+05 1.7 1.9 0.833 15.4
Azerbaijan 2015 Developing 72.7 118 5 NA 0.000000e+00 96 0 52.5 6 98 NA 96 0.1 5.531382e+01 9.649341e+06 2.8 2.9 0.758 12.7
Azerbaijan 2014 Developing 72.5 119 5 0.01 3.061824e+02 94 0 51.5 6 97 6.40 94 0.1 7.891300e+03 9.535790e+05 2.8 2.9 0.752 12.2
Azerbaijan 2013 Developing 72.2 121 5 2.14 2.756515e+02 93 164 5.6 6 96 5.54 93 0.1 7.875757e+03 9.416810e+05 2.8 2.8 0.745 11.9
Azerbaijan 2012 Developing 71.9 123 5 0.01 2.856104e+02 88 0 49.7 6 92 5.37 89 0.1 7.496336e+03 9.295784e+06 2.8 2.8 0.742 11.8
Azerbaijan 2011 Developing 71.6 125 5 1.98 2.631427e+02 84 0 48.8 6 91 5.10 87 0.1 7.189691e+03 9.173820e+05 2.8 2.9 0.741 11.7
Azerbaijan 2010 Developing 71.1 13 5 1.98 2.465686e+02 8 0 48.0 6 85 5.33 81 0.1 5.842858e+03 9.543320e+05 2.8 2.9 0.737 11.7
Azerbaijan 2009 Developing 78.0 132 6 2.10 2.248638e+01 74 0 47.3 6 84 5.85 81 0.1 4.952948e+02 8.947243e+06 2.8 2.9 0.728 11.6
Azerbaijan 2008 Developing 73.0 141 6 1.18 2.062616e+02 68 5 46.6 6 85 4.37 81 0.1 5.574638e+03 8.763400e+04 2.8 2.9 0.719 11.6
Azerbaijan 2007 Developing 73.0 14 6 1.02 1.760107e+02 62 0 45.9 7 81 5.10 79 0.1 3.851438e+03 8.581300e+04 2.8 2.9 0.708 11.6
Azerbaijan 2006 Developing 69.2 154 6 0.85 1.056337e+02 52 222 45.3 7 8 6.17 78 0.1 2.473858e+03 8.484550e+05 2.9 2.9 0.682 10.7
Azerbaijan 2005 Developing 68.4 162 6 0.73 8.128883e+01 49 1238 44.7 7 79 7.86 75 0.1 1.578424e+03 8.391850e+05 2.9 3.0 0.675 11.2
Azerbaijan 2004 Developing 68.4 154 6 0.62 8.596805e+00 5 827 44.2 8 78 7.92 77 0.1 1.452163e+02 8.365000e+03 3.0 3.0 0.668 11.0
Azerbaijan 2003 Developing 67.8 154 7 0.55 4.241491e+01 51 1978 43.6 8 79 6.56 77 0.1 8.836440e+02 8.234100e+04 3.0 3.0 0.659 10.8
Azerbaijan 2002 Developing 67.8 146 7 0.55 3.933254e+01 5 4353 43.1 9 8 4.47 76 0.1 7.637386e+02 8.171950e+05 3.1 3.1 0.651 10.6
Azerbaijan 2001 Developing 67.5 151 8 0.51 4.104190e+00 NA 574 42.6 10 77 4.48 77 0.1 7.368384e+01 8.111200e+04 3.1 3.1 0.642 10.4
Azerbaijan 2000 Developing 66.6 16 9 0.65 3.509463e+01 NA 210 42.1 11 75 4.67 76 0.1 6.559743e+02 8.486000e+03 3.2 3.1 0.636 10.1
Bahamas 2015 Developing 76.1 147 0 NA 0.000000e+00 95 0 64.5 0 95 NA 95 0.1 NA NA 2.5 2.5 0.790 12.6
Bahamas 2014 Developing 75.4 16 0 9.45 0.000000e+00 96 0 63.8 0 96 7.74 96 0.1 NA NA 2.5 2.5 0.789 12.6
Bahamas 2013 Developing 74.8 172 0 9.42 0.000000e+00 97 0 63.2 0 97 7.50 97 0.1 NA NA 2.5 2.5 0.790 12.6
Bahamas 2012 Developing 74.9 167 0 9.50 0.000000e+00 96 0 62.6 0 99 7.43 98 0.2 NA NA 2.5 2.5 0.789 12.6
Bahamas 2011 Developing 75.0 162 0 9.34 0.000000e+00 95 0 62.0 0 97 7.63 98 0.1 NA NA 2.5 2.5 0.788 12.6
Bahamas 2010 Developing 75.0 161 0 9.19 0.000000e+00 98 0 61.3 0 97 7.44 99 0.2 NA NA 2.5 2.5 0.788 12.6
Bahamas 2009 Developing 74.6 168 0 9.29 0.000000e+00 95 0 6.7 0 97 7.43 96 0.1 NA NA 2.5 2.5 0.791 12.6
Bahamas 2008 Developing 74.5 167 0 10.15 0.000000e+00 9 0 6.1 0 93 7.30 93 0.1 NA NA 2.5 2.5 0.791 12.6
Bahamas 2007 Developing 74.4 167 0 10.75 0.000000e+00 93 0 59.4 0 95 7.80 95 0.1 NA NA 2.5 2.5 0.790 12.5
Bahamas 2006 Developing 74.2 171 0 11.07 0.000000e+00 96 0 58.7 0 94 6.93 95 0.1 NA NA 2.5 2.5 0.788 12.4
Bahamas 2005 Developing 74.1 172 0 10.49 0.000000e+00 93 0 58.1 0 93 5.95 93 0.1 NA NA 2.6 2.5 0.786 12.4
Bahamas 2004 Developing 73.8 174 0 10.10 0.000000e+00 93 0 57.4 0 92 6.20 93 0.1 NA NA 2.6 2.5 0.784 12.3
Bahamas 2003 Developing 73.2 189 0 10.68 0.000000e+00 88 0 56.7 0 93 5.62 92 0.1 NA NA 2.6 2.5 0.783 12.2
Bahamas 2002 Developing 73.1 19 0 10.85 0.000000e+00 89 0 56.0 0 93 5.26 94 0.1 NA NA 2.6 2.6 0.781 12.1
Bahamas 2001 Developing 72.9 189 0 11.64 0.000000e+00 21 0 55.2 0 98 5.15 99 0.2 NA NA 2.7 2.6 0.779 12.1
Bahamas 2000 Developing 72.6 192 0 12.15 0.000000e+00 NA 0 54.4 0 91 5.21 99 0.1 NA NA 2.7 2.6 0.000 12.0
Bahrain 2015 Developing 76.9 69 0 NA 0.000000e+00 98 0 63.6 0 98 NA 98 0.1 2.268888e+04 NA 6.2 6.1 0.823 14.5
Bahrain 2014 Developing 76.8 7 0 1.57 3.672557e+02 98 46 62.9 0 98 4.98 98 0.1 2.498338e+04 NA 6.1 6.0 0.820 14.5
Bahrain 2013 Developing 76.7 7 0 1.65 3.968696e+00 99 0 62.2 0 99 4.69 99 0.1 2.511833e+02 NA 6.1 6.0 0.815 14.5
Bahrain 2012 Developing 76.5 71 0 1.70 2.211216e+03 99 0 61.5 0 99 4.37 99 0.1 2.364937e+04 NA 6.1 6.0 0.812 14.5
Bahrain 2011 Developing 76.1 76 0 1.66 1.977735e+02 99 0 6.8 0 99 3.40 99 0.1 2.281124e+03 NA 6.1 6.0 0.812 14.4
Bahrain 2010 Developing 76.1 73 0 1.93 2.667696e+02 99 0 6.1 0 99 3.64 99 0.1 2.722139e+03 NA 6.0 5.9 0.810 14.4
Bahrain 2009 Developing 76.0 74 0 1.95 3.329348e+02 98 3 59.3 0 97 3.79 98 0.1 1.935667e+04 NA 6.0 5.9 0.814 14.4
Bahrain 2008 Developing 75.8 76 0 2.00 2.315479e+02 97 2 58.5 0 97 3.17 97 0.1 2.367565e+03 NA 6.0 5.9 0.815 14.4
Bahrain 2007 Developing 75.6 77 0 2.00 2.783603e+02 97 7 57.6 0 97 3.80 97 0.1 2.977115e+03 NA 6.1 5.9 0.813 14.4
Bahrain 2006 Developing 75.5 79 0 2.10 1.707374e+02 98 3 56.8 0 98 3.80 98 0.1 1.937995e+03 NA 6.1 5.9 0.810 14.2
Bahrain 2005 Developing 75.3 81 0 2.05 1.553469e+03 98 4 56.1 0 98 3.16 98 0.1 1.795918e+04 NA 6.1 5.9 0.806 14.0
Bahrain 2004 Developing 75.2 83 0 2.16 1.380228e+03 98 11 55.6 0 98 3.37 98 0.1 1.584648e+04 NA 6.1 5.9 0.803 13.9
Bahrain 2003 Developing 75.0 85 0 2.16 1.214558e+03 98 12 55.2 0 97 3.74 97 0.1 1.422199e+04 NA 6.1 5.9 0.798 13.7
Bahrain 2002 Developing 74.9 87 0 1.99 1.064303e+02 98 8 55.0 0 98 3.89 98 0.1 1.312335e+03 NA 6.2 5.9 0.796 13.5
Bahrain 2001 Developing 74.7 9 0 1.95 1.150418e+03 99 5 54.8 0 99 3.80 99 0.1 1.286821e+04 NA 6.2 6.0 0.794 13.3
Bahrain 2000 Developing 74.5 92 0 2.15 1.677271e+02 97 6 54.5 0 97 3.51 97 0.1 1.363635e+04 NA 6.2 6.0 0.786 13.2
Bangladesh 2015 Developing 71.8 129 92 NA 0.000000e+00 97 240 18.3 113 97 NA 97 0.1 1.211581e+02 1.612886e+06 17.9 18.3 0.575 10.2
Bangladesh 2014 Developing 71.4 132 98 0.01 1.044640e+01 97 289 17.7 121 97 2.82 97 0.1 1.845654e+02 1.594528e+07 18.1 18.6 0.570 10.0
Bangladesh 2013 Developing 71.0 135 104 0.01 5.282986e+01 96 237 17.0 130 96 2.88 96 0.1 9.518895e+02 1.575713e+08 18.3 18.8 0.565 10.0
Bangladesh 2012 Developing 77.0 137 111 0.01 5.925893e+01 94 1986 16.4 139 94 3.80 94 0.1 8.563429e+02 1.557275e+07 18.5 19.0 0.557 9.9
Bangladesh 2011 Developing 73.0 14 118 0.01 6.234988e+01 96 5625 15.8 150 96 3.16 96 0.1 8.357893e+02 1.539119e+08 18.7 19.2 0.545 9.4
Bangladesh 2010 Developing 69.9 142 126 0.01 6.265945e+01 94 788 15.2 161 94 3.60 94 0.1 7.576718e+02 1.521491e+07 18.9 19.4 0.535 8.9
Bangladesh 2009 Developing 69.5 144 135 0.01 5.326400e+01 97 718 14.6 173 97 2.91 97 0.1 6.811254e+02 1.545478e+06 19.1 19.7 0.523 8.4
Bangladesh 2008 Developing 69.1 147 144 0.01 4.248865e+01 96 2660 14.0 186 96 2.85 96 0.1 6.157775e+02 1.488581e+07 19.3 19.9 0.520 8.6
Bangladesh 2007 Developing 68.6 151 154 0.01 4.636537e+01 95 2924 13.5 201 96 2.80 94 0.1 5.416515e+02 1.471392e+08 19.5 2.1 0.513 8.6
Bangladesh 2006 Developing 68.2 152 164 0.01 4.233045e+01 86 6192 13.0 215 95 2.80 94 0.1 4.945147e+02 1.453684e+06 19.7 2.3 0.506 8.4
Bangladesh 2005 Developing 67.8 155 174 0.01 3.805462e+01 45 25934 12.5 231 94 2.68 93 0.1 4.841555e+02 1.434311e+07 19.9 2.5 0.499 8.2
Bangladesh 2004 Developing 67.3 158 185 0.01 4.114697e+00 11 9743 12.0 247 88 2.62 99 0.1 4.675792e+01 1.413749e+07 2.1 2.7 0.491 8.1
Bangladesh 2003 Developing 66.8 161 196 0.01 3.548459e+01 5 4067 11.6 264 9 2.51 87 0.1 4.327389e+02 1.391910e+05 2.3 2.9 0.484 7.9
Bangladesh 2002 Developing 66.3 164 207 0.01 3.972288e-01 NA 3484 11.2 280 83 2.59 83 0.1 4.613575e+00 1.366667e+06 2.5 21.1 0.476 7.7
Bangladesh 2001 Developing 65.8 168 219 0.01 3.395070e+00 NA 4414 1.8 298 85 2.47 85 0.1 4.259812e+01 1.341716e+06 2.7 21.3 0.468 7.5
Bangladesh 2000 Developing 65.3 173 231 0.01 3.696331e+00 NA 5098 1.4 316 83 2.33 82 0.1 4.563371e+01 1.315812e+08 2.9 21.5 0.459 7.3
Barbados 2015 Developing 75.5 98 0 NA 0.000000e+00 97 0 54.5 0 97 NA 97 0.1 1.555784e+04 NA 3.8 3.7 0.794 15.3
Barbados 2014 Developing 75.4 1 0 8.82 2.949057e+02 94 0 53.7 0 95 7.47 94 0.1 1.535967e+04 NA 3.8 3.7 0.793 15.3
Barbados 2013 Developing 75.2 11 0 8.74 2.630373e+02 91 0 53.0 0 91 7.57 91 0.1 1.547278e+04 NA 3.8 3.8 0.792 15.3
Barbados 2012 Developing 75.1 12 0 8.61 2.600044e+02 87 0 52.2 0 88 7.43 87 0.1 1.538487e+04 NA 3.8 3.8 0.785 15.3
Barbados 2011 Developing 74.9 14 0 8.51 1.739826e+02 91 0 51.4 0 91 6.67 91 0.1 1.553416e+04 NA 3.8 3.8 0.780 15.5
Barbados 2010 Developing 74.7 16 0 8.41 1.549631e+02 86 0 5.7 0 9 6.17 86 0.1 1.595912e+03 NA 3.8 3.8 0.781 15.8
Barbados 2009 Developing 74.6 19 0 8.46 3.271618e+02 93 0 49.9 0 93 6.21 93 0.1 1.652332e+04 NA 3.8 3.8 0.779 15.5
Barbados 2008 Developing 74.4 111 0 8.95 2.552277e+01 85 0 49.2 0 85 6.10 85 0.1 1.657323e+03 NA 3.9 3.9 0.775 15.3
Barbados 2007 Developing 74.2 113 0 8.47 1.641310e+03 93 0 48.4 0 93 5.64 93 0.1 1.646249e+04 NA 3.9 3.9 0.771 15.0
Barbados 2006 Developing 74.1 115 0 8.39 1.815001e+02 84 0 47.7 0 85 5.27 84 0.1 1.564656e+04 NA 4.0 3.9 0.766 14.8
Barbados 2005 Developing 73.9 117 0 8.01 1.311440e+03 92 0 46.9 0 91 5.38 92 0.1 1.422387e+04 NA 4.0 4.0 0.761 14.6
Barbados 2004 Developing 73.8 119 0 7.68 1.660083e+02 93 0 46.2 0 93 5.71 93 0.2 1.286886e+04 NA 4.1 4.0 0.757 14.4
Barbados 2003 Developing 73.7 121 0 7.65 1.351399e+01 91 0 45.4 0 9 5.82 89 0.4 1.228545e+03 NA 4.1 4.1 0.753 14.2
Barbados 2002 Developing 73.5 123 0 7.59 1.330995e+02 66 0 44.6 0 86 5.76 87 0.8 1.167539e+04 NA 4.2 4.1 0.749 14.0
Barbados 2001 Developing 73.4 125 0 7.38 1.381665e+02 18 0 43.8 0 93 5.47 84 0.7 1.151387e+04 NA 4.2 4.2 0.750 14.0
Barbados 2000 Developing 73.3 127 0 7.43 1.140616e+03 NA 0 43.0 0 86 5.16 93 0.9 1.156811e+04 NA 4.3 4.2 0.741 14.0
Belarus 2015 Developing 72.3 196 0 NA 0.000000e+00 99 2 62.3 0 99 NA 99 0.1 5.949117e+03 9.489616e+06 1.9 2.0 0.798 15.6
Belarus 2014 Developing 72.0 199 0 13.94 1.147111e+03 97 64 61.7 0 97 5.69 97 0.1 8.318429e+03 9.474511e+06 1.9 2.0 0.796 15.7
Belarus 2013 Developing 71.7 23 0 14.66 1.109855e+03 98 16 61.1 1 98 6.70 98 0.1 7.978825e+03 9.465997e+06 2.0 2.0 0.796 15.7
Belarus 2012 Developing 71.9 194 0 16.35 9.170962e+01 97 10 6.5 1 98 5.10 98 0.1 6.942439e+02 9.464495e+06 2.0 2.1 0.793 15.6
Belarus 2011 Developing 72.0 232 0 17.31 8.469113e+02 98 50 59.9 1 98 4.92 98 0.1 6.519718e+03 9.473172e+06 2.0 2.1 0.787 15.5
Belarus 2010 Developing 73.0 222 0 14.44 8.494095e+00 96 1 59.3 1 99 5.55 98 0.1 6.338877e+01 9.495830e+05 2.0 2.2 0.780 15.5
Belarus 2009 Developing 70.0 226 0 14.09 4.347985e+02 98 0 58.7 1 98 6.90 96 0.1 5.176173e+03 9.567650e+05 2.1 2.2 0.771 15.4
Belarus 2008 Developing 70.0 224 1 14.67 5.018056e+02 98 0 58.2 1 98 5.95 97 0.1 6.376183e+03 9.527985e+06 2.1 2.3 0.755 15.1
Belarus 2007 Developing 69.8 226 1 14.22 4.640775e+02 91 1 57.7 1 9 6.44 95 0.1 4.735485e+03 9.569530e+05 2.2 2.3 0.739 14.9
Belarus 2006 Developing 68.9 243 1 12.60 3.644261e+02 98 149 57.2 1 97 6.34 99 0.1 3.848216e+03 9.649240e+05 2.2 2.4 0.723 14.6
Belarus 2005 Developing 68.1 252 1 11.01 4.565008e+01 99 1 56.7 1 98 6.89 99 0.1 3.126718e+03 9.663915e+06 2.3 2.5 0.713 14.4
Belarus 2004 Developing 68.2 247 1 12.05 4.233444e+01 99 2 56.2 1 99 6.59 99 0.1 2.378339e+03 9.731460e+05 2.4 2.5 0.703 14.1
Belarus 2003 Developing 67.7 253 1 11.17 2.383579e+01 56 21 55.8 1 53 6.59 5 0.1 1.819526e+03 9.796749e+06 2.5 2.6 0.695 13.9
Belarus 2002 Developing 67.2 262 1 12.23 1.454234e+02 99 14 55.3 1 99 6.47 99 0.1 1.479383e+03 9.865548e+06 2.5 2.7 0.687 13.6
Belarus 2001 Developing 67.7 254 1 10.74 1.406142e+01 93 45 54.9 1 99 6.62 99 0.1 1.244373e+03 9.928549e+06 2.6 2.7 0.681 13.3
Belarus 2000 Developing 68.0 247 1 12.98 2.424948e+01 7 21 54.4 1 99 6.13 99 0.1 1.276288e+03 9.979610e+05 2.7 2.8 0.675 13.1
Belgium 2015 Developed 81.1 74 0 NA 0.000000e+00 98 47 63.7 1 99 NA 99 0.1 4.356875e+03 1.127420e+07 1.0 1.0 0.895 16.6
Belgium 2014 Developed 89.0 76 0 12.60 7.163349e+03 98 70 63.4 1 99 1.59 99 0.1 4.743940e+04 1.129570e+05 1.0 1.0 0.890 16.3
Belgium 2013 Developed 87.0 77 0 11.77 7.023594e+02 98 39 63.0 1 99 1.57 99 0.1 4.651386e+03 1.118282e+07 1.0 0.9 0.889 16.3
Belgium 2012 Developed 83.0 78 0 10.08 6.644739e+02 98 109 62.6 1 99 1.54 99 0.1 4.474572e+03 1.112825e+07 0.9 0.9 0.886 16.2
Belgium 2011 Developed 83.0 8 0 10.11 7.135297e+02 97 576 62.3 1 98 1.42 98 0.1 4.772774e+03 1.147744e+06 0.9 0.9 0.884 16.1
Belgium 2010 Developed 80.0 81 0 10.22 6.657356e+02 97 40 61.9 1 98 1.17 98 0.1 4.438237e+03 1.895586e+06 0.9 0.9 0.878 15.9
Belgium 2009 Developed 79.8 85 0 10.05 6.719377e+02 97 33 61.6 1 98 1.39 98 0.1 4.488561e+03 1.796493e+06 0.9 0.9 0.876 15.8
Belgium 2008 Developed 79.5 87 0 10.47 7.191052e+03 98 98 61.3 1 99 9.60 99 0.1 4.842459e+04 1.799730e+05 0.8 0.8 0.874 15.8
Belgium 2007 Developed 79.5 86 0 10.25 6.403561e+02 94 64 6.9 1 99 9.25 98 0.1 4.443831e+03 1.625700e+04 0.8 0.8 0.871 15.8
Belgium 2006 Developed 79.4 85 0 10.98 5.579199e+03 94 15 6.6 1 99 9.17 98 0.1 3.885236e+04 1.547958e+06 0.8 0.8 0.865 15.7
Belgium 2005 Developed 78.9 89 0 12.27 5.068214e+03 77 26 6.2 1 97 9.24 97 0.1 3.696728e+04 1.478617e+06 0.8 0.8 0.861 15.7
Belgium 2004 Developed 78.8 91 1 12.05 5.160508e+03 64 61 59.8 1 96 9.32 95 0.1 3.558971e+04 1.421137e+06 0.8 0.8 0.880 18.8
Belgium 2003 Developed 78.3 95 0 11.28 5.073062e+02 64 44 59.4 1 96 9.30 95 0.1 3.743957e+03 1.376133e+06 0.8 0.8 0.878 18.6
Belgium 2002 Developed 78.0 99 1 11.29 3.203178e+02 6 0 59.0 1 96 8.46 95 0.1 2.552333e+03 1.332785e+06 0.8 0.8 0.875 18.8
Belgium 2001 Developed 78.0 1 1 11.01 2.943375e+03 6 83 58.5 1 96 8.29 95 0.1 2.312157e+04 1.286570e+05 0.8 0.8 0.873 18.2
Belgium 2000 Developed 77.6 11 1 11.21 2.872085e+02 6 0 58.1 1 96 8.12 95 0.1 2.327459e+03 1.251250e+05 0.8 0.8 0.869 18.0
Belize 2015 Developing 71.0 175 0 NA 0.000000e+00 94 0 5.9 0 94 NA 94 0.2 4.849997e+03 3.592880e+05 3.5 3.4 0.706 12.8
Belize 2014 Developing 70.0 177 0 6.58 6.700921e+02 95 0 5.1 0 95 5.79 95 0.2 4.852224e+03 3.516940e+05 3.4 3.4 0.705 12.8
Belize 2013 Developing 69.8 18 0 6.56 6.292019e+02 95 0 49.3 0 95 5.79 95 0.2 4.688538e+03 3.441810e+05 3.4 3.4 0.706 12.9
Belize 2012 Developing 69.4 189 0 6.66 5.828027e+02 98 0 48.5 0 98 5.45 98 0.1 4.673638e+03 3.367100e+04 3.5 3.4 0.702 12.5
Belize 2011 Developing 69.4 188 0 6.64 6.056287e+02 95 0 47.8 0 95 5.61 95 0.5 4.516247e+03 3.291920e+05 3.5 3.4 0.700 12.4
Belize 2010 Developing 69.5 186 0 6.76 5.699527e+02 96 0 47.0 0 96 5.85 96 0.2 4.344152e+03 3.216800e+04 3.5 3.4 0.700 12.4
Belize 2009 Developing 69.5 184 0 6.85 5.498096e+02 97 0 46.3 0 98 5.81 97 0.3 4.258789e+03 3.139290e+05 3.5 3.4 0.700 12.7
Belize 2008 Developing 69.6 181 0 7.22 5.125232e+01 94 0 45.7 0 94 5.90 94 0.1 4.472280e+02 3.616500e+04 3.5 3.4 0.699 12.8
Belize 2007 Developing 69.6 181 0 7.24 6.963051e+01 96 0 45.0 0 97 4.76 96 0.6 4.324876e+03 2.984700e+04 3.5 3.5 0.700 12.8
Belize 2006 Developing 69.4 184 0 6.48 3.873325e+02 98 0 44.4 0 98 4.40 98 0.6 4.187378e+03 2.974700e+04 3.6 3.5 0.692 12.3
Belize 2005 Developing 69.0 191 0 6.25 3.657999e+02 96 0 43.8 0 96 4.45 96 0.8 3.933332e+03 2.832770e+05 3.6 3.5 0.695 12.8
Belize 2004 Developing 68.7 197 0 6.20 3.256807e+02 97 0 43.2 0 97 4.39 97 0.8 3.831538e+03 2.768900e+04 3.6 3.5 0.691 12.5
Belize 2003 Developing 68.4 21 0 5.67 3.127996e+02 96 0 42.6 0 95 4.53 96 1.5 3.679995e+03 2.691300e+04 3.6 3.6 0.684 12.2
Belize 2002 Developing 68.5 199 0 4.99 2.628299e+02 97 0 42.0 0 93 4.38 89 0.1 3.556562e+03 2.622600e+04 3.7 3.6 0.678 11.9
Belize 2001 Developing 68.2 21 0 4.90 2.516587e+02 96 0 41.4 0 96 4.50 96 0.4 3.419276e+03 2.549840e+05 3.7 3.7 0.677 11.8
Belize 2000 Developing 68.3 196 0 4.79 2.190240e+02 76 0 4.8 0 91 3.98 91 0.3 3.364424e+03 2.473150e+05 3.8 3.7 0.668 11.7
Benin 2015 Developing 60.0 249 25 NA 0.000000e+00 82 55 25.7 39 78 NA 82 1.0 7.839479e+02 1.575952e+06 6.9 6.8 0.481 10.7
Benin 2014 Developing 59.7 252 25 0.01 9.012207e+01 78 786 25.2 39 74 4.59 78 1.1 9.436866e+02 1.286712e+06 7.1 6.9 0.475 10.7
Benin 2013 Developing 59.5 251 25 0.01 8.740804e+01 77 637 24.6 39 73 4.59 77 1.2 9.152675e+02 1.445100e+04 7.2 7.1 0.466 10.3
Benin 2012 Developing 59.3 251 25 0.01 9.804075e+00 8 288 24.1 39 8 4.86 8 1.3 8.379551e+02 9.729160e+05 7.4 7.3 0.458 10.0
Benin 2011 Developing 59.1 251 25 1.40 1.102634e+02 75 426 23.5 39 77 5.37 75 1.4 8.259428e+02 9.468200e+04 7.6 7.5 0.454 9.8
Benin 2010 Developing 58.7 254 25 1.33 9.425738e+01 76 392 23.0 39 77 4.95 76 1.4 7.576960e+02 9.199259e+06 7.8 7.6 0.451 9.5
Benin 2009 Developing 58.4 259 25 1.16 7.101399e+01 79 1461 22.5 39 8 4.46 79 1.6 7.934524e+02 8.944760e+05 7.9 7.8 0.448 9.3
Benin 2008 Developing 57.6 278 25 1.28 7.615430e+00 75 928 22.0 39 77 4.20 75 1.8 8.215135e+01 8.696916e+06 8.1 8.0 0.444 9.1
Benin 2007 Developing 57.1 283 25 1.12 7.492818e+00 82 341 21.5 39 82 4.55 82 2.0 7.653542e+01 8.454791e+06 8.3 8.2 0.438 8.9
Benin 2006 Developing 56.8 284 25 1.19 7.591429e+01 74 176 21.0 39 76 4.75 74 2.0 6.258392e+02 8.216896e+06 8.5 8.4 0.434 8.7
Benin 2005 Developing 56.5 285 25 1.13 7.106997e+00 7 210 2.5 39 73 4.73 7 2.1 6.179998e+01 7.982225e+06 8.7 8.6 0.430 8.5
Benin 2004 Developing 56.1 285 25 1.15 1.073628e+01 75 262 2.1 39 74 4.56 72 2.1 5.834935e+02 7.754000e+03 8.9 8.8 0.423 8.1
Benin 2003 Developing 55.8 285 25 1.35 8.931827e+00 73 217 19.7 40 75 4.63 73 2.1 5.192923e+02 7.525550e+05 9.1 9.0 0.416 7.7
Benin 2002 Developing 55.6 283 25 1.23 4.048815e+01 15 1588 19.2 40 76 4.27 75 2.1 4.186986e+02 7.295394e+06 9.3 9.2 0.407 7.3
Benin 2001 Developing 55.5 281 25 1.29 4.533476e+01 NA 5859 18.8 40 77 4.69 76 2.1 3.787365e+02 7.767330e+05 9.5 9.4 0.395 6.6
Benin 2000 Developing 55.4 279 25 1.34 3.738182e+01 NA 4244 18.4 40 78 4.34 78 2.0 3.741924e+02 6.865951e+06 9.7 9.6 0.389 6.4
Bhutan 2015 Developing 69.8 211 0 NA 0.000000e+00 99 11 24.5 0 98 NA 99 0.5 2.613645e+03 7.873860e+05 15.4 16.0 0.604 12.5
Bhutan 2014 Developing 69.4 216 0 0.01 2.093921e+02 99 0 23.6 1 98 3.57 99 0.5 2.522797e+03 7.764480e+05 15.7 16.2 0.596 12.5
Bhutan 2013 Developing 69.1 219 0 0.01 1.979057e+01 97 0 22.7 1 97 3.83 97 0.6 2.358829e+02 7.649610e+05 15.9 16.5 0.589 12.6
Bhutan 2012 Developing 68.7 223 0 0.01 1.887374e+02 97 1 21.9 1 97 3.70 97 0.6 2.422816e+03 7.529670e+05 16.1 16.7 0.581 12.3
Bhutan 2011 Developing 68.3 225 0 0.23 2.898524e+02 95 10 21.1 1 95 4.73 95 0.5 2.458460e+03 7.451000e+03 16.3 17.0 0.572 11.9
Bhutan 2010 Developing 67.9 228 1 0.28 2.440392e+02 91 21 2.3 1 92 5.17 91 0.5 2.178921e+03 7.276410e+05 16.6 17.3 0.000 11.4
Bhutan 2009 Developing 67.4 232 1 0.17 2.748907e+01 93 6 19.5 1 93 6.30 93 0.4 1.772345e+02 7.144580e+05 16.8 17.5 0.000 10.9
Bhutan 2008 Developing 67.0 234 1 0.21 3.026676e+02 96 7 18.8 1 96 6.58 96 0.4 1.795181e+03 7.950000e+02 17.1 17.8 0.000 10.5
Bhutan 2007 Developing 66.5 238 1 0.16 2.838062e+02 95 11 18.0 1 93 5.88 95 0.3 1.741143e+03 6.869580e+05 17.3 18.1 0.000 10.1
Bhutan 2006 Developing 65.8 245 1 0.29 1.692024e+02 95 2 17.4 1 96 5.27 95 0.3 1.335457e+03 6.722280e+05 17.5 18.3 0.000 9.6
Bhutan 2005 Developing 65.0 254 1 0.73 1.455965e+02 95 11 16.7 1 95 5.28 95 0.3 1.247614e+03 6.566390e+05 17.8 18.6 0.000 9.2
Bhutan 2004 Developing 64.2 263 1 0.96 2.586698e+00 89 3 16.1 1 9 4.41 89 0.3 1.974579e+02 6.428200e+04 18.0 18.8 0.000 8.8
Bhutan 2003 Developing 63.3 273 1 0.52 1.915664e+01 95 0 15.5 1 96 4.90 95 0.2 9.977417e+02 6.234340e+05 18.3 19.1 0.000 8.4
Bhutan 2002 Developing 62.5 282 1 0.29 1.519755e+02 83 27 14.9 1 89 7.75 86 0.1 8.856382e+02 6.639900e+04 18.6 19.4 0.000 8.0
Bhutan 2001 Developing 61.7 29 1 0.14 8.574030e+00 89 756 14.4 1 88 5.91 88 0.1 8.793877e+01 5.896000e+03 18.9 19.6 0.000 7.6
Bhutan 2000 Developing 62.0 312 1 0.17 9.335873e+01 98 418 13.9 1 98 6.91 92 0.1 7.658632e+02 5.734160e+05 19.2 19.9 0.000 7.3
Bolivia (Plurinational State of) 2015 Developing 77.0 186 8 NA 0.000000e+00 99 0 52.6 10 99 NA 99 0.1 NA NA 1.2 1.1 0.671 13.8
Bolivia (Plurinational State of) 2014 Developing 74.0 189 8 3.62 0.000000e+00 98 0 51.9 10 99 6.33 98 0.1 NA NA 1.2 1.1 0.666 13.8
Bolivia (Plurinational State of) 2013 Developing 71.0 192 8 3.78 0.000000e+00 94 0 51.2 10 95 5.96 94 0.1 NA NA 1.2 1.1 0.661 13.8
Bolivia (Plurinational State of) 2012 Developing 69.8 194 8 3.89 0.000000e+00 93 0 5.6 11 93 5.56 93 0.1 NA NA 1.2 1.1 0.655 13.8
Bolivia (Plurinational State of) 2011 Developing 69.3 198 9 3.93 0.000000e+00 95 0 49.9 11 95 5.49 95 0.2 NA NA 1.2 1.1 0.649 13.8
Bolivia (Plurinational State of) 2010 Developing 68.7 22 9 3.95 0.000000e+00 91 0 49.3 12 9 5.44 91 0.2 NA NA 1.2 1.1 0.643 13.8
Bolivia (Plurinational State of) 2009 Developing 68.0 27 10 3.87 0.000000e+00 93 0 48.6 12 92 5.76 93 0.2 NA NA 1.2 1.1 0.636 13.8
Bolivia (Plurinational State of) 2008 Developing 67.4 211 10 3.77 0.000000e+00 88 0 48.0 13 87 5.00 88 0.2 NA NA 1.3 1.1 0.632 14.0
Bolivia (Plurinational State of) 2007 Developing 66.8 216 11 3.47 0.000000e+00 84 0 47.3 14 85 4.96 84 0.2 NA NA 1.3 1.2 0.626 14.1
Bolivia (Plurinational State of) 2006 Developing 66.2 219 11 3.23 0.000000e+00 83 0 46.7 15 82 5.19 83 0.2 NA NA 1.3 1.2 0.625 14.3
Bolivia (Plurinational State of) 2005 Developing 65.7 222 12 2.86 0.000000e+00 85 0 46.0 16 84 5.67 85 0.2 NA NA 1.3 1.2 0.622 14.4
Bolivia (Plurinational State of) 2004 Developing 65.1 226 12 2.66 0.000000e+00 84 0 45.4 16 84 5.22 84 0.2 NA NA 1.4 1.2 0.620 14.6
Bolivia (Plurinational State of) 2003 Developing 64.5 23 13 2.37 0.000000e+00 8 0 44.7 17 82 5.30 88 0.2 NA NA 1.4 1.3 0.617 14.4
Bolivia (Plurinational State of) 2002 Developing 63.9 234 14 2.26 0.000000e+00 77 0 44.0 18 76 6.53 77 0.1 NA NA 1.4 1.3 0.610 14.0
Bolivia (Plurinational State of) 2001 Developing 63.3 238 14 2.20 0.000000e+00 77 0 43.3 19 71 6.31 71 0.1 NA NA 1.5 1.4 0.607 13.7
Bolivia (Plurinational State of) 2000 Developing 62.6 243 15 2.32 0.000000e+00 77 122 42.6 20 74 5.67 75 0.1 NA NA 1.5 1.4 0.600 13.3
Bosnia and Herzegovina 2015 Developing 77.4 88 0 NA 0.000000e+00 82 1677 55.8 0 74 NA 82 0.1 4.574979e+03 3.535961e+06 2.3 2.3 0.747 14.2
Bosnia and Herzegovina 2014 Developing 77.2 89 0 4.03 7.328662e+02 89 3000 55.3 0 86 9.57 86 0.1 5.193949e+03 3.566200e+04 2.4 2.4 0.742 14.2
Bosnia and Herzegovina 2013 Developing 77.0 9 0 4.12 7.561063e+01 91 0 54.7 0 87 9.46 89 0.1 5.358655e+02 3.649990e+05 2.4 2.4 0.735 14.2
Bosnia and Herzegovina 2012 Developing 76.8 92 0 4.61 6.938226e+02 92 22 54.2 0 87 9.94 92 0.1 4.716673e+03 3.648200e+04 2.5 2.5 0.728 13.9
Bosnia and Herzegovina 2011 Developing 76.9 92 0 4.64 7.959131e+00 88 10 53.7 0 89 9.71 88 0.1 5.515683e+01 3.688865e+06 2.6 2.5 0.711 13.4
Bosnia and Herzegovina 2010 Developing 76.4 94 0 4.54 6.303884e+02 89 45 53.1 0 9 9.58 89 0.1 4.611473e+03 3.722840e+05 2.6 2.6 0.717 13.3
Bosnia and Herzegovina 2009 Developing 76.1 97 0 4.75 6.450213e+02 9 22 52.6 0 9 9.64 9 0.1 4.697897e+03 3.746561e+06 2.7 2.7 0.716 13.3
Bosnia and Herzegovina 2008 Developing 76.0 98 0 5.13 6.604635e+01 88 8 52.1 0 92 8.58 91 0.1 5.753166e+02 3.763599e+06 2.8 2.7 0.710 13.1
Bosnia and Herzegovina 2007 Developing 75.4 16 0 5.16 8.240356e+00 94 166 51.5 0 95 8.37 95 0.1 4.182922e+02 3.774000e+03 2.8 2.8 0.703 12.9
Bosnia and Herzegovina 2006 Developing 75.7 1 0 4.82 3.825414e+01 9 17 51.0 0 91 8.28 87 0.1 3.443217e+02 3.779468e+06 2.9 2.8 0.697 12.7
Bosnia and Herzegovina 2005 Developing 75.0 12 0 4.56 4.571354e+01 93 23 5.5 0 95 8.50 93 0.1 2.968412e+03 3.781530e+05 2.9 2.9 0.000 12.5
Bosnia and Herzegovina 2004 Developing 75.5 99 0 4.25 3.479919e+00 36 28 49.9 0 87 9.40 84 0.1 2.656427e+02 3.781287e+06 3.0 3.0 0.000 12.3
Bosnia and Herzegovina 2003 Developing 75.2 12 0 4.14 3.986518e+01 NA 18 49.4 0 87 7.94 87 0.1 2.214732e+03 3.779247e+06 3.0 3.0 0.000 12.1
Bosnia and Herzegovina 2002 Developing 75.4 11 0 3.84 1.511399e+02 NA 28 48.8 0 86 7.10 8 0.1 1.761538e+03 3.775870e+05 3.1 3.1 0.000 11.9
Bosnia and Herzegovina 2001 Developing 74.9 113 0 3.85 1.432947e+02 NA 0 48.2 0 92 7.16 91 0.1 1.524412e+03 3.771284e+06 3.2 3.2 0.000 11.6
Bosnia and Herzegovina 2000 Developing 74.6 116 0 3.64 1.656169e+02 NA 43 47.6 0 87 7.90 85 0.1 1.461755e+03 3.766760e+05 3.3 3.2 0.000 0.0
Botswana 2015 Developing 65.7 256 2 NA 0.000000e+00 95 0 37.9 2 96 NA 95 2.2 6.532651e+03 2.291970e+05 6.4 6.1 0.698 12.6
Botswana 2014 Developing 65.1 268 2 0.01 6.628022e+02 95 1 37.3 2 96 5.41 95 2.3 7.497762e+03 2.168573e+06 6.7 6.4 0.697 12.6
Botswana 2013 Developing 64.2 286 2 0.01 1.117811e+00 95 1 36.8 2 96 5.84 95 2.8 7.762578e+01 2.128570e+05 7.0 6.7 0.693 12.6
Botswana 2012 Developing 63.4 3 2 0.01 1.283447e+01 95 7 36.2 3 96 6.27 95 4.4 7.292315e+02 2.893150e+05 7.3 7.0 0.687 12.5
Botswana 2011 Developing 62.2 325 2 5.76 6.689563e+02 95 8 35.7 3 96 5.25 95 5.5 7.645215e+03 2.513390e+05 7.7 7.4 0.678 12.4
Botswana 2010 Developing 61.1 349 2 5.99 5.470387e+02 95 853 35.2 3 96 5.64 95 6.2 6.346156e+03 2.148660e+05 8.0 7.8 0.669 12.3
Botswana 2009 Developing 59.2 393 2 5.01 4.267856e+02 94 184 34.7 3 96 6.39 96 9.0 5.185730e+03 1.979882e+06 8.4 8.2 0.661 12.2
Botswana 2008 Developing 57.5 427 2 6.56 4.768626e+02 94 0 34.2 3 96 5.55 96 12.7 5.623380e+03 1.946351e+06 8.8 8.6 0.646 12.1
Botswana 2007 Developing 56.9 436 2 6.21 5.125888e+02 93 1 33.7 3 96 4.71 96 13.4 5.714479e+03 1.914414e+06 9.2 9.0 0.630 12.1
Botswana 2006 Developing 54.8 491 2 6.45 7.631868e+01 93 6 33.2 3 96 4.93 96 14.4 5.374555e+03 1.884238e+06 9.6 9.4 0.610 11.9
Botswana 2005 Developing 51.7 566 2 6.37 6.298426e+02 92 5 32.7 3 96 5.62 96 20.6 5.351254e+03 1.855852e+06 1.0 9.9 0.593 11.9
Botswana 2004 Developing 48.1 652 2 4.90 4.695824e+02 91 1 32.2 4 96 5.56 96 28.4 4.896584e+03 1.829330e+05 1.5 1.4 0.580 11.8
Botswana 2003 Developing 46.4 693 2 5.51 2.993671e+02 9 59 31.6 4 96 4.65 96 31.9 4.163660e+03 1.843390e+05 1.9 1.8 0.567 11.8
Botswana 2002 Developing 46.0 699 2 6.41 6.330007e+00 88 7 31.1 4 97 6.47 97 34.6 3.556184e+02 1.779953e+06 11.4 11.3 0.558 11.9
Botswana 2001 Developing 46.7 679 2 5.48 3.069527e+02 87 1 3.5 4 97 5.73 97 37.2 3.128978e+03 1.754935e+06 11.8 11.8 0.560 11.8
Botswana 2000 Developing 47.8 647 2 5.37 2.508916e+02 86 2672 29.9 4 97 4.64 97 38.8 3.349688e+03 1.728340e+05 12.3 12.2 0.559 11.7
Brazil 2015 Developing 75.0 142 42 NA 0.000000e+00 96 214 56.1 47 98 NA 96 0.1 8.757262e+03 2.596218e+06 2.7 2.6 0.754 15.2
Brazil 2014 Developing 74.8 144 44 7.32 8.316465e+01 96 876 55.3 49 96 8.32 93 0.1 1.226617e+03 2.421313e+07 2.7 2.7 0.747 15.2
Brazil 2013 Developing 74.7 146 46 7.24 9.162708e+02 96 220 54.5 52 96 8.48 97 0.1 1.221694e+04 2.248632e+06 2.8 2.7 0.734 14.2
Brazil 2012 Developing 74.5 148 49 7.55 8.431946e+02 96 2 53.6 54 96 8.26 95 0.1 1.229147e+04 2.569830e+05 2.8 2.8 0.730 14.2
Brazil 2011 Developing 74.1 152 51 7.58 1.085000e+03 98 43 52.8 57 98 8.90 99 0.1 1.316747e+04 1.986867e+08 2.9 2.8 0.724 14.0
Brazil 2010 Developing 73.8 154 54 7.52 1.111191e+03 96 68 52.0 61 99 8.27 99 0.1 1.122415e+04 1.967963e+08 2.9 2.9 0.716 13.8
Brazil 2009 Developing 73.6 157 57 7.33 5.645234e+02 99 0 51.1 64 99 8.65 99 0.1 8.553385e+03 1.948960e+08 3.0 2.9 0.714 13.8
Brazil 2008 Developing 73.4 158 61 7.21 5.263781e+02 96 0 5.3 68 99 8.24 99 0.1 8.787614e+03 1.929793e+07 3.0 3.0 0.704 13.3
Brazil 2007 Developing 73.3 159 65 7.19 3.949321e+02 99 0 49.4 73 99 8.28 99 0.1 7.313558e+03 1.912664e+07 3.1 3.0 0.700 13.5
Brazil 2006 Developing 73.0 161 70 7.10 3.030375e+01 99 57 48.6 79 99 8.36 99 0.1 5.861460e+02 1.891241e+07 3.1 3.1 0.698 13.8
Brazil 2005 Developing 72.7 163 75 6.97 2.376370e+01 98 6 47.8 85 99 8.27 99 0.1 4.771827e+02 1.869174e+08 3.2 3.1 0.694 13.8
Brazil 2004 Developing 72.0 17 81 6.85 1.866090e+02 96 0 46.9 93 99 7.70 99 0.1 3.623477e+03 1.847385e+08 3.2 3.2 0.695 14.0
Brazil 2003 Developing 71.8 172 88 6.95 1.585781e+01 97 2 46.1 100 99 6.94 99 0.1 3.595876e+02 1.824821e+08 3.3 3.3 0.699 14.8
Brazil 2002 Developing 71.4 176 95 7.00 1.409825e+02 92 1 45.3 109 99 7.13 99 0.1 2.819650e+03 1.815121e+06 3.3 3.3 0.692 14.6
Brazil 2001 Developing 71.0 179 103 7.13 1.494802e+02 91 1 44.5 118 99 7.19 98 0.1 3.146952e+03 1.777567e+06 3.4 3.4 0.685 14.3
Brazil 2000 Developing 75.0 183 111 7.26 1.794777e+02 94 36 43.7 127 99 7.30 98 0.1 3.739119e+03 1.752876e+08 3.4 3.4 0.677 14.1
Brunei Darussalam 2015 Developing 77.7 78 0 NA 0.000000e+00 99 4 41.2 0 99 NA 99 0.1 3.967895e+03 NA 5.7 5.1 0.864 14.9
Brunei Darussalam 2014 Developing 77.6 8 0 0.01 2.691433e+02 99 1 4.2 0 99 2.65 99 0.1 4.159865e+03 NA 5.7 5.2 0.863 15.0
Brunei Darussalam 2013 Developing 77.1 84 0 0.01 2.845306e+03 98 0 39.2 0 99 2.61 99 0.1 4.459728e+04 NA 5.8 5.2 0.860 14.9
Brunei Darussalam 2012 Developing 78.3 79 0 0.01 3.192634e+03 99 1 38.2 0 99 2.30 99 0.1 4.765126e+04 NA 5.8 5.3 0.852 14.4
Brunei Darussalam 2011 Developing 77.4 79 0 0.97 2.957730e+02 93 4 37.2 0 99 2.25 97 0.1 4.717273e+03 NA 5.9 5.4 0.846 14.1
Brunei Darussalam 2010 Developing 76.9 79 0 0.88 2.218364e+03 96 0 36.2 0 99 2.73 95 0.1 3.526811e+04 NA 5.9 5.4 0.845 14.2
Brunei Darussalam 2009 Developing 76.8 88 0 0.25 1.873687e+03 96 2 35.2 0 99 2.85 99 0.1 2.796548e+04 NA 6.0 5.5 0.841 14.1
Brunei Darussalam 2008 Developing 77.2 84 0 0.67 2.538941e+03 96 3 34.2 0 97 2.23 98 0.1 3.795129e+04 NA 6.1 5.6 0.840 14.2
Brunei Darussalam 2007 Developing 76.0 1 0 0.85 2.048557e+03 97 0 33.2 0 95 2.32 99 0.1 3.267237e+04 NA 6.2 5.7 0.840 14.3
Brunei Darussalam 2006 Developing 76.3 93 0 0.67 2.497533e+01 99 0 32.2 0 94 2.24 97 0.1 3.989669e+02 NA 6.3 5.8 0.837 14.3
Brunei Darussalam 2005 Developing 76.2 92 0 0.16 1.797148e+02 99 9 31.2 0 93 2.62 94 0.1 2.612133e+03 NA 6.4 5.9 0.834 14.1
Brunei Darussalam 2004 Developing 76.4 89 0 0.11 1.504300e+03 99 16 3.1 0 92 3.10 92 0.1 2.189665e+04 NA 6.5 6.0 0.828 13.7
Brunei Darussalam 2003 Developing 76.0 89 0 0.12 1.406512e+03 99 24 29.1 0 99 3.90 92 0.1 1.855557e+04 NA 6.6 6.1 0.823 13.4
Brunei Darussalam 2002 Developing 74.8 95 0 0.13 9.417037e+02 99 0 28.0 0 99 3.40 94 0.1 1.684622e+04 NA 6.7 6.1 0.820 13.3
Brunei Darussalam 2001 Developing 74.7 19 0 0.47 1.078662e+03 99 11 27.0 0 99 3.60 97 0.1 1.646813e+04 NA 6.8 6.2 0.819 13.4
Brunei Darussalam 2000 Developing 74.4 16 0 0.37 1.179686e+01 99 42 26.1 0 99 3.50 99 0.1 1.884483e+02 NA 6.8 6.3 0.818 13.4
Bulgaria 2015 Developed 74.5 137 0 NA 0.000000e+00 92 0 65.7 1 91 NA 91 0.1 6.993477e+03 7.177991e+06 1.9 1.8 0.792 15.0
Bulgaria 2014 Developed 74.3 138 1 12.03 1.531400e+02 95 0 65.1 1 88 8.44 88 0.1 7.853335e+03 7.223938e+06 1.9 1.9 0.787 14.8
Bulgaria 2013 Developed 74.1 14 1 12.06 1.496599e+02 95 14 64.5 1 95 7.93 95 0.1 7.674866e+03 7.265115e+06 1.9 1.9 0.781 14.4
Bulgaria 2012 Developed 73.9 139 1 10.99 8.514507e+02 95 1 63.9 1 95 7.11 95 0.1 7.378255e+03 7.358880e+05 1.9 1.9 0.778 14.3
Bulgaria 2011 Developed 73.7 144 1 10.67 8.751495e+02 96 157 63.3 1 95 6.88 95 0.1 7.813835e+03 7.348328e+06 2.0 2.0 0.775 14.2
Bulgaria 2010 Developed 73.4 147 1 10.80 7.664455e+02 95 22004 62.7 1 94 7.24 94 0.1 6.843263e+03 7.395599e+06 2.0 2.0 0.770 13.9
Bulgaria 2009 Developed 73.2 152 1 10.93 6.615144e+02 96 2249 62.1 1 94 6.78 94 0.1 6.955988e+03 7.444443e+06 2.0 2.1 0.768 13.8
Bulgaria 2008 Developed 72.9 155 1 10.98 1.079826e+02 96 1 61.5 1 96 6.61 95 0.1 7.296122e+03 7.492561e+06 2.1 2.1 0.761 13.8
Bulgaria 2007 Developed 72.6 157 1 10.89 5.915101e+02 95 1 6.9 1 95 6.41 95 0.1 5.932900e+03 7.545338e+06 2.1 2.2 0.755 13.5
Bulgaria 2006 Developed 72.2 161 1 10.39 5.086305e+02 96 1 6.3 1 96 6.67 95 0.1 4.513136e+03 7.612200e+04 2.2 2.2 0.750 13.5
Bulgaria 2005 Developed 72.1 16 1 10.48 4.563405e+02 96 3 59.7 1 97 7.80 96 0.1 3.893690e+03 7.658972e+06 2.2 2.3 0.745 13.5
Bulgaria 2004 Developed 72.2 157 1 10.96 3.841473e+02 94 0 59.1 1 94 7.90 95 0.1 3.381578e+03 7.716860e+05 2.3 2.3 0.738 13.3
Bulgaria 2003 Developed 72.0 155 1 11.19 3.238616e+01 96 0 58.6 1 96 7.43 96 0.1 2.714682e+02 7.775327e+06 2.3 2.4 0.729 12.9
Bulgaria 2002 Developed 71.8 157 1 10.20 3.326778e+01 88 0 58.1 1 94 7.41 93 0.1 2.875348e+02 7.837161e+06 2.4 2.4 0.723 12.9
Bulgaria 2001 Developed 71.6 16 1 10.72 2.506263e+01 93 8 57.5 1 94 7.23 94 0.1 1.764974e+03 8.914200e+04 2.4 2.5 0.713 12.9
Bulgaria 2000 Developed 71.1 163 1 9.69 1.523573e+01 94 46 57.0 1 94 6.70 93 0.1 1.692859e+02 8.171720e+05 2.5 2.5 0.709 12.9
Burkina Faso 2015 Developing 59.9 26 38 NA 0.000000e+00 91 99 19.4 61 91 NA 91 0.6 6.155922e+02 1.811624e+06 8.0 7.5 0.399 7.7
Burkina Faso 2014 Developing 59.3 268 39 0.01 8.386340e+00 91 343 18.8 63 91 4.96 91 0.6 7.514641e+01 1.758598e+07 8.2 7.7 0.398 7.7
Burkina Faso 2013 Developing 59.0 27 40 4.64 8.897040e+01 88 375 18.2 66 89 5.91 88 0.7 6.994528e+02 1.772723e+06 8.4 7.9 0.392 7.5
Burkina Faso 2012 Developing 58.6 271 41 4.75 7.876987e+01 9 7362 17.7 68 9 5.33 9 0.8 6.738227e+02 1.657122e+07 8.6 8.1 0.384 7.2
Burkina Faso 2011 Developing 58.1 275 42 4.51 8.555593e+01 91 860 17.1 71 9 5.17 91 0.9 6.668428e+02 1.681940e+05 8.8 8.4 0.377 6.7
Burkina Faso 2010 Developing 57.5 279 43 4.55 9.046018e+01 91 2511 16.6 74 9 7.17 91 1.0 5.754465e+02 1.565217e+06 9.0 8.6 0.365 6.3
Burkina Faso 2009 Developing 56.9 283 44 4.55 8.114305e+01 92 54118 16.1 77 91 7.41 92 1.1 5.527456e+02 1.514199e+06 9.3 8.8 0.356 5.9
Burkina Faso 2008 Developing 56.1 288 45 4.50 1.077988e+02 93 395 15.6 80 92 6.77 93 1.5 5.697613e+02 1.468973e+07 9.5 9.1 0.345 5.4
Burkina Faso 2007 Developing 55.3 293 46 4.58 7.392731e+01 89 12 15.1 83 93 6.63 89 1.7 4.751112e+02 1.425221e+06 9.8 9.3 0.334 4.9
Burkina Faso 2006 Developing 54.3 32 47 4.73 6.424025e+01 76 125 14.6 86 94 6.58 86 2.0 4.226332e+02 1.382918e+07 1.0 9.6 0.325 4.7
Burkina Faso 2005 Developing 53.3 313 48 4.88 8.769989e+00 NA 253 14.2 89 94 6.87 82 2.3 4.699887e+01 1.342193e+06 1.3 9.8 0.000 4.3
Burkina Faso 2004 Developing 52.4 323 49 4.54 5.696108e+01 NA 77 13.7 91 83 6.45 79 2.5 3.713239e+02 1.335690e+05 1.5 1.1 0.000 3.9
Burkina Faso 2003 Developing 51.6 332 49 4.58 4.160951e+01 NA 2946 13.3 92 83 5.61 79 2.9 3.323444e+02 1.265462e+07 1.7 1.3 0.000 3.8
Burkina Faso 2002 Developing 51.0 338 49 4.53 3.195567e+00 NA 1744 12.9 93 69 5.26 69 3.2 2.676354e+01 1.229310e+05 11.0 1.6 0.000 3.6
Burkina Faso 2001 Developing 56.0 344 48 4.56 2.310169e+01 NA 4174 12.5 93 62 4.85 62 3.6 2.354912e+02 1.194459e+07 11.2 1.8 0.000 3.5
Burkina Faso 2000 Developing 51.0 348 48 3.71 1.983930e+01 NA 6074 12.2 92 45 5.60 45 4.0 2.264760e+02 1.167942e+06 11.4 11.1 0.000 3.4
Burundi 2015 Developing 59.6 288 21 NA 0.000000e+00 94 9 18.7 31 94 NA 94 0.7 3.368122e+01 1.199270e+05 7.3 7.2 0.406 10.6
Burundi 2014 Developing 59.1 297 22 0.01 4.125159e+01 95 0 18.2 32 95 7.54 95 0.7 3.127490e+02 9.891790e+05 7.4 7.3 0.404 10.6
Burundi 2013 Developing 58.6 33 22 0.01 4.015128e+01 96 0 17.6 32 96 8.30 96 1.0 2.827555e+02 9.618600e+04 7.4 7.4 0.398 10.5
Burundi 2012 Developing 58.0 312 22 0.01 3.873171e+01 96 49 17.1 33 96 8.21 96 1.2 2.652857e+02 9.319710e+05 7.5 7.5 0.393 10.3
Burundi 2011 Developing 57.4 321 22 4.16 3.595980e+00 96 129 16.6 33 95 8.58 96 1.5 2.647997e+01 9.435800e+04 7.6 7.6 0.385 9.9
Burundi 2010 Developing 56.8 33 23 4.16 3.114188e+01 96 495 16.1 34 94 8.82 96 1.9 2.311943e+02 8.766930e+05 7.7 7.7 0.361 9.3
Burundi 2009 Developing 56.2 338 23 4.05 2.030495e+00 94 305 15.7 34 96 6.96 94 2.4 2.494465e+01 8.489310e+05 7.8 7.8 0.336 8.6
Burundi 2008 Developing 55.3 35 23 4.33 1.599415e+01 92 173 15.2 35 89 7.86 92 2.9 1.962473e+02 8.212264e+06 7.9 7.9 0.319 7.9
Burundi 2007 Developing 54.8 355 24 4.54 1.726595e+00 99 43 14.8 36 93 1.30 99 3.4 1.779995e+01 7.939573e+06 8.0 8.0 0.309 7.2
Burundi 2006 Developing 54.1 361 24 4.50 2.124915e+01 92 784 14.5 36 88 11.49 92 3.8 1.658794e+02 7.675338e+06 8.1 8.2 0.290 5.9
Burundi 2005 Developing 53.4 369 24 5.54 1.747441e+00 87 0 14.1 37 82 9.84 87 4.3 1.557434e+01 7.423289e+06 8.2 8.3 0.286 5.6
Burundi 2004 Developing 52.6 378 24 5.72 1.122655e+01 83 2 13.8 38 76 7.10 83 4.8 1.274297e+02 7.182451e+06 8.4 8.4 0.279 5.2
Burundi 2003 Developing 51.9 387 24 5.84 6.545264e+00 NA 224 13.5 38 75 5.25 82 5.1 1.128494e+02 6.953113e+06 8.5 8.5 0.276 4.7
Burundi 2002 Developing 51.5 387 24 5.98 9.660010e+00 NA 1016 13.3 39 74 5.15 81 5.2 1.224336e+02 6.741569e+06 8.7 8.7 0.268 4.4
Burundi 2001 Developing 51.3 385 25 6.09 1.061918e+01 NA 0 13.0 40 72 4.96 81 5.3 1.337428e+02 6.555829e+06 8.8 8.8 0.268 4.5
Burundi 2000 Developing 58.0 386 25 6.61 9.696689e+00 NA 18363 12.8 41 71 4.98 8 5.2 1.359984e+02 6.476000e+03 9.0 8.9 0.268 4.5
Côte d’Ivoire 2015 Developing 53.3 397 57 NA 0.000000e+00 83 65 28.0 79 81 NA 83 1.9 NA NA 5.5 5.5 NA NA
Côte d’Ivoire 2014 Developing 52.8 47 58 0.01 0.000000e+00 76 50 27.4 80 76 5.72 76 2.0 NA NA 5.6 5.6 NA NA
Côte d’Ivoire 2013 Developing 52.3 412 59 3.15 0.000000e+00 8 48 26.8 81 79 5.81 8 2.4 NA NA 5.8 5.7 NA NA
Côte d’Ivoire 2012 Developing 52.0 415 59 3.24 0.000000e+00 82 137 26.2 82 83 6.14 82 2.9 NA NA 5.9 5.9 NA NA
Côte d’Ivoire 2011 Developing 51.7 419 60 3.13 0.000000e+00 62 628 25.6 83 58 6.42 62 3.3 NA NA 6.1 6.0 NA NA
Côte d’Ivoire 2010 Developing 51.5 417 60 3.15 0.000000e+00 85 441 25.0 84 81 6.32 85 3.3 NA NA 6.3 6.2 NA NA
Côte d’Ivoire 2009 Developing 51.0 426 60 2.92 0.000000e+00 81 183 24.4 84 77 6.41 81 3.7 NA NA 6.5 6.4 NA NA
Côte d’Ivoire 2008 Developing 54.0 437 60 2.69 0.000000e+00 74 12 23.8 85 58 6.21 74 4.1 NA NA 6.6 6.6 NA NA
Côte d’Ivoire 2007 Developing 49.9 443 61 2.58 0.000000e+00 76 5 23.2 87 75 6.35 76 5.3 NA NA 6.8 6.7 NA NA
Côte d’Ivoire 2006 Developing 49.4 452 62 2.65 0.000000e+00 77 11 22.6 89 76 5.87 77 5.8 NA NA 7.0 6.9 NA NA
Côte d’Ivoire 2005 Developing 48.7 466 63 3.11 0.000000e+00 76 115 22.1 90 87 5.39 76 6.1 NA NA 7.2 7.1 NA NA
Côte d’Ivoire 2004 Developing 48.2 472 64 3.08 0.000000e+00 67 3466 21.5 91 76 5.24 67 6.5 NA NA 7.3 7.3 NA NA
Côte d’Ivoire 2003 Developing 48.0 473 64 3.12 0.000000e+00 63 4770 2.9 92 68 4.65 61 6.7 NA NA 7.5 7.5 NA NA
Côte d’Ivoire 2002 Developing 47.7 473 65 3.13 0.000000e+00 48 5882 2.4 93 7 4.47 64 6.9 NA NA 7.7 7.7 NA NA
Côte d’Ivoire 2001 Developing 47.8 467 65 3.15 0.000000e+00 1 5790 19.9 94 7 4.85 66 7.0 NA NA 7.9 7.9 NA NA
Côte d’Ivoire 2000 Developing 47.9 461 67 3.45 0.000000e+00 NA 5729 19.4 95 66 6.00 65 7.1 NA NA 8.1 8.1 NA NA
Cabo Verde 2015 Developing 73.3 114 0 NA 0.000000e+00 96 0 31.3 0 93 NA 93 0.2 2.954119e+03 5.329130e+05 6.6 6.6 0.646 13.5
Cabo Verde 2014 Developing 73.0 117 0 0.01 4.140242e+02 97 0 3.5 0 95 4.76 95 0.2 3.529618e+03 5.264370e+05 6.8 6.7 0.643 13.5
Cabo Verde 2013 Developing 72.8 12 0 0.01 3.256299e+02 94 0 29.7 0 93 4.29 93 0.2 3.558796e+03 5.216000e+03 6.9 6.9 0.643 13.6
Cabo Verde 2012 Developing 72.7 121 0 0.01 3.355889e+01 94 0 29.0 0 94 4.61 94 0.3 3.484828e+02 5.139790e+05 7.1 7.1 0.636 13.2
Cabo Verde 2011 Developing 72.6 122 0 5.07 4.409153e+00 9 0 28.2 0 9 4.60 9 0.3 3.674295e+02 5.867000e+03 7.3 7.2 0.632 13.1
Cabo Verde 2010 Developing 72.5 123 0 4.75 2.868907e+02 98 0 27.5 0 99 4.83 99 0.4 3.312826e+03 5.238400e+04 7.4 7.4 0.627 12.7
Cabo Verde 2009 Developing 72.4 124 0 4.45 3.399777e+02 98 0 26.8 0 99 4.24 99 0.4 3.444557e+03 4.969630e+05 7.6 7.6 0.621 12.4
Cabo Verde 2008 Developing 72.4 124 0 4.16 3.606209e+02 98 0 26.2 0 99 3.96 99 0.4 3.638959e+03 4.917230e+05 7.8 7.8 0.615 12.2
Cabo Verde 2007 Developing 72.3 126 0 5.28 3.454637e+02 96 0 25.5 0 98 4.30 98 0.6 3.112286e+03 4.864380e+05 8.1 8.0 0.602 11.9
Cabo Verde 2006 Developing 72.1 129 0 4.25 2.645133e+01 95 0 24.9 0 97 5.11 96 0.6 2.342899e+02 4.879500e+04 8.3 8.3 0.596 11.9
Cabo Verde 2005 Developing 71.8 134 0 4.26 3.349817e+00 93 0 24.3 0 95 4.86 95 0.8 2.481346e+02 4.745670e+05 8.5 8.5 0.582 11.2
Cabo Verde 2004 Developing 71.4 14 0 4.19 2.401397e+02 91 0 23.7 0 94 5.60 93 0.8 1.976459e+03 4.676640e+05 8.7 8.7 0.574 11.1
Cabo Verde 2003 Developing 71.1 144 0 4.16 2.090865e+02 66 0 23.2 0 93 5.00 92 0.9 1.768921e+03 4.614700e+04 8.9 8.9 0.572 11.3
Cabo Verde 2002 Developing 77.0 148 0 3.82 1.552073e+02 4 0 22.6 0 92 5.17 91 0.8 1.373516e+03 4.521600e+04 9.2 9.1 0.569 11.3
Cabo Verde 2001 Developing 73.0 152 0 3.81 1.507435e+02 NA 0 22.1 0 91 5.19 9 0.8 1.268885e+03 4.437160e+05 9.4 9.3 0.562 11.0
Cabo Verde 2000 Developing 69.9 155 0 3.49 1.225745e+02 NA 2 21.5 0 9 4.81 9 0.8 1.239378e+03 4.357900e+04 9.6 9.5 0.000 11.3
Cambodia 2015 Developing 68.7 174 10 NA 0.000000e+00 89 0 19.6 12 87 NA 89 0.2 1.163190e+03 1.551764e+07 1.9 1.9 0.558 10.9
Cambodia 2014 Developing 68.3 179 11 0.01 1.217952e+01 88 0 18.9 12 87 5.68 88 0.2 1.986871e+02 1.527790e+05 1.9 11.0 0.553 10.9
Cambodia 2013 Developing 67.8 183 11 0.01 8.758214e+00 83 0 18.2 13 66 5.93 83 0.2 1.284196e+02 1.522692e+06 11.0 11.1 0.546 10.8
Cambodia 2012 Developing 67.4 186 12 0.01 6.914724e+00 86 15 17.6 14 84 6.24 86 0.3 9.524413e+01 1.477687e+07 11.0 11.2 0.540 10.7
Cambodia 2011 Developing 67.0 19 13 2.12 6.018592e+01 88 722 17.0 15 87 5.64 88 0.3 8.824915e+02 1.453789e+07 11.0 11.2 0.533 10.7
Cambodia 2010 Developing 66.6 192 14 2.20 5.688416e+01 89 1156 16.4 16 88 5.95 89 0.5 7.856929e+02 1.438740e+05 11.0 11.3 0.519 10.6
Cambodia 2009 Developing 66.1 195 15 2.13 4.835424e+01 92 4779 15.9 17 95 6.36 94 0.6 7.382327e+02 1.492800e+04 11.1 11.4 0.520 10.5
Cambodia 2008 Developing 65.6 199 16 2.24 5.310009e+01 91 4211 15.3 18 91 5.55 91 0.7 7.457878e+02 1.388590e+05 11.2 11.4 0.511 10.5
Cambodia 2007 Developing 65.0 24 16 2.08 5.773517e+01 82 394 14.8 20 82 3.75 82 0.9 6.316758e+02 1.367669e+07 11.3 11.5 0.495 10.3
Cambodia 2006 Developing 64.1 216 17 2.03 5.150447e+01 8 188 14.3 21 8 4.48 8 1.1 5.398792e+02 1.347449e+07 11.4 11.6 0.483 10.1
Cambodia 2005 Developing 62.9 234 18 1.99 6.221817e+01 NA 264 13.9 22 82 5.84 82 1.4 4.742239e+02 1.327210e+05 11.5 11.6 0.470 10.0
Cambodia 2004 Developing 61.5 253 19 1.38 8.386119e+00 NA 352 13.5 24 86 6.43 85 1.7 4.861518e+01 1.363377e+06 11.6 11.7 0.458 9.7
Cambodia 2003 Developing 63.0 268 21 1.44 5.559544e+01 NA 653 13.1 26 69 6.74 69 1.9 3.624214e+02 1.285312e+07 11.6 11.7 0.445 9.3
Cambodia 2002 Developing 59.3 273 23 1.43 3.091061e+01 NA 1361 12.8 29 54 5.95 54 2.1 3.396770e+02 1.263473e+07 11.6 11.8 0.427 8.2
Cambodia 2001 Developing 58.5 273 25 1.71 2.768971e+01 NA 3761 12.4 33 59 5.70 6 2.2 3.212263e+02 1.242473e+06 11.6 11.8 0.412 7.6
Cambodia 2000 Developing 57.7 274 27 1.51 3.284181e-01 NA 12237 12.1 36 62 5.87 59 2.1 3.685949e+00 1.215235e+07 11.6 11.9 0.401 7.2
Cameroon 2015 Developing 57.3 357 45 NA 0.000000e+00 84 1809 29.0 68 83 NA 84 3.5 1.244429e+03 2.283452e+07 5.6 5.5 0.514 10.4
Cameroon 2014 Developing 56.7 366 47 0.01 6.139264e+01 87 831 28.4 71 86 4.10 87 3.7 1.441142e+03 2.223994e+06 5.7 5.7 0.507 10.4
Cameroon 2013 Developing 56.4 364 48 0.01 6.307890e+01 89 760 27.8 73 88 4.29 89 4.0 1.365344e+03 2.165572e+07 5.8 5.8 0.501 10.4
Cameroon 2012 Developing 55.9 369 50 0.01 6.855839e+01 85 609 27.2 76 85 4.34 85 4.6 1.255648e+03 2.182383e+06 5.9 5.9 0.496 10.4
Cameroon 2011 Developing 55.6 371 51 6.19 8.318071e+01 82 504 26.6 79 8 3.96 82 4.9 1.295650e+03 2.524470e+05 6.0 6.0 0.486 10.0
Cameroon 2010 Developing 55.3 37 53 6.15 1.008987e+02 84 240 26.0 82 83 5.28 84 5.5 1.182869e+03 1.997495e+06 6.1 6.2 0.480 9.7
Cameroon 2009 Developing 54.8 373 54 5.89 9.042541e+00 8 251 25.4 85 79 5.70 8 6.3 1.231954e+02 1.943254e+07 6.3 6.3 0.473 9.2
Cameroon 2008 Developing 54.2 382 56 5.90 6.870730e+01 84 495 24.9 87 82 5.18 84 6.7 1.233524e+03 1.897800e+04 6.4 6.5 0.466 8.8
Cameroon 2007 Developing 53.6 395 57 5.44 7.562893e+00 82 100 24.4 89 81 4.76 82 7.0 1.117119e+02 1.839539e+07 6.6 6.6 0.456 8.0
Cameroon 2006 Developing 53.3 394 58 5.22 9.624971e-01 81 196 23.8 91 78 4.69 81 7.2 1.298916e+01 1.789956e+07 6.7 6.8 0.456 8.2
Cameroon 2005 Developing 52.8 4 58 5.03 7.303276e+01 79 605 23.3 93 79 4.75 8 7.4 9.521872e+02 1.742795e+06 6.9 7.0 0.456 8.3
Cameroon 2004 Developing 52.1 412 59 4.71 7.177302e+00 NA 358 22.8 94 72 4.73 73 7.5 9.321172e+01 1.695981e+06 7.0 7.1 0.455 8.2
Cameroon 2003 Developing 51.8 412 60 4.64 6.763925e+01 NA 899 22.3 95 72 4.97 73 7.7 8.248689e+02 1.651382e+07 7.2 7.3 0.452 8.1
Cameroon 2002 Developing 51.6 47 60 4.58 5.370597e+01 NA 1448 21.8 97 66 4.86 66 7.8 6.763977e+02 1.684886e+06 7.4 7.5 0.452 8.4
Cameroon 2001 Developing 51.5 41 61 4.43 4.173629e+01 NA 23934 21.3 99 61 4.70 63 7.9 6.146729e+02 1.567193e+07 7.5 7.7 0.437 7.1
Cameroon 2000 Developing 51.4 394 62 3.91 4.720593e+00 NA 14629 2.9 100 57 4.48 62 7.7 6.841440e+01 1.527423e+07 7.7 7.8 0.433 6.9
Canada 2015 Developing 82.2 64 2 NA 0.000000e+00 55 195 67.0 2 91 NA 91 0.1 4.331574e+04 3.584861e+06 0.6 0.5 0.919 16.3
Canada 2014 Developing 82.0 65 2 8.10 1.021902e+02 55 418 66.4 2 91 1.45 91 0.1 5.444338e+02 3.554456e+07 0.5 0.5 0.912 15.9
Canada 2013 Developing 81.8 67 2 8.20 9.733228e+03 55 83 65.8 2 91 1.67 91 0.1 5.241372e+04 3.515545e+07 0.5 0.5 0.909 15.9
Canada 2012 Developing 81.6 68 2 8.30 9.748636e+03 7 10 65.3 2 99 1.78 95 0.1 5.249669e+04 3.475545e+06 0.5 0.5 0.907 15.9
Canada 2011 Developing 81.5 68 2 8.20 9.719280e+02 7 803 64.7 2 87 1.82 87 0.1 5.282218e+03 3.434278e+06 0.5 0.5 0.903 15.9
Canada 2010 Developing 81.2 7 2 8.40 8.649675e+03 56 99 64.1 2 88 11.20 89 0.1 4.744748e+04 3.452740e+05 0.5 0.4 0.898 15.9
Canada 2009 Developing 81.0 72 2 8.40 8.649499e+02 42 14 63.6 2 89 11.17 91 0.1 4.773454e+03 3.362857e+07 0.5 0.4 0.898 15.9
Canada 2008 Developing 87.0 74 2 8.30 8.433937e+03 28 62 63.0 2 89 1.30 92 0.1 4.659634e+04 3.324577e+07 0.5 0.4 0.897 15.8
Canada 2007 Developing 85.0 74 2 8.30 7.946744e+03 14 101 62.5 2 9 9.83 94 0.1 4.454453e+04 3.288793e+07 0.5 0.4 0.894 15.8
Canada 2006 Developing 85.0 75 2 8.20 7.711818e+02 14 13 61.9 2 95 9.75 95 0.1 4.386699e+03 3.257550e+05 0.5 0.4 0.891 15.8
Canada 2005 Developing 81.0 76 2 8.00 6.333178e+03 14 6 61.3 2 93 9.57 93 0.1 3.618959e+04 3.231200e+04 0.5 0.4 0.886 15.8
Canada 2004 Developing 80.0 77 2 7.80 5.513330e+03 14 7 6.6 2 91 9.56 91 0.1 3.197987e+04 3.199500e+04 0.5 0.4 0.881 15.8
Canada 2003 Developing 79.7 78 2 7.70 4.687846e+03 14 15 6.0 2 88 9.54 91 0.1 2.817215e+04 3.167600e+04 0.5 0.4 0.877 15.8
Canada 2002 Developing 79.5 79 2 7.70 3.895856e+03 NA 6 59.3 2 88 9.37 88 0.1 2.416784e+04 3.136200e+04 0.5 0.4 0.872 15.8
Canada 2001 Developing 79.4 8 2 7.60 3.665090e+03 NA 34 58.5 2 88 9.10 89 0.1 2.369159e+04 3.181900e+04 0.5 0.4 0.867 15.8
Canada 2000 Developing 79.1 82 2 7.60 3.787495e+03 NA 206 57.8 2 88 8.67 89 0.1 2.412417e+04 3.769700e+04 0.5 0.5 0.864 15.9
Central African Republic 2015 Developing 52.5 397 15 NA 0.000000e+00 47 150 22.7 21 47 NA 47 4.4 3.483814e+02 4.546100e+04 8.2 8.2 0.347 7.1
Central African Republic 2014 Developing 58.0 437 15 0.01 5.343964e+01 47 210 22.1 22 47 4.20 47 4.5 3.771323e+02 4.515392e+06 8.4 8.3 0.345 7.1
Central African Republic 2013 Developing 49.9 451 16 0.01 5.237767e+01 23 596 21.6 23 23 3.82 23 5.1 3.374850e+02 4.499653e+06 8.5 8.5 0.370 7.1
Central African Republic 2012 Developing 53.0 439 16 0.01 7.344808e+00 47 141 21.2 23 47 3.62 47 5.1 4.864111e+02 4.494160e+05 8.7 8.6 0.366 7.1
Central African Republic 2011 Developing 49.8 443 16 1.66 5.852947e+01 47 679 2.7 24 47 3.73 47 5.8 4.943368e+02 4.476153e+06 8.8 8.8 0.361 6.8
Central African Republic 2010 Developing 49.2 446 17 1.67 4.348359e+01 45 2 2.2 24 46 3.90 45 6.6 4.464434e+02 4.448525e+06 9.0 8.9 0.352 6.6
Central African Republic 2009 Developing 48.6 453 17 1.56 4.045157e+01 42 11 19.8 25 45 3.58 42 7.3 4.499618e+02 4.442300e+04 9.1 9.1 0.345 6.4
Central African Republic 2008 Developing 47.6 477 17 1.52 6.734138e+01 NA 12 19.4 25 46 4.30 45 8.3 4.568614e+02 4.345386e+06 9.3 9.2 0.338 6.3
Central African Republic 2007 Developing 46.8 495 17 1.50 6.004885e+01 NA 49 19.0 26 46 4.40 48 9.0 3.971485e+02 4.275800e+04 9.4 9.4 0.330 6.2
Central African Republic 2006 Developing 46.3 56 17 1.54 4.690118e+01 NA 3 18.6 26 47 3.99 51 10.0 3.476737e+02 4.217580e+05 9.6 9.6 0.323 6.0
Central African Republic 2005 Developing 45.9 511 17 1.50 4.092208e+01 NA 471 18.2 26 47 4.29 54 11.2 3.271149e+02 4.127910e+05 9.7 9.7 0.319 5.9
Central African Republic 2004 Developing 45.7 512 17 1.50 4.150112e+01 NA 1233 17.9 26 45 4.10 51 12.0 3.132160e+02 4.553600e+04 9.9 9.9 0.315 5.7
Central African Republic 2003 Developing 45.7 51 17 1.49 4.611619e+01 NA 652 17.5 26 44 4.31 47 12.8 2.862582e+02 3.981665e+06 1.0 1.1 0.316 5.6
Central African Republic 2002 Developing 45.6 58 17 1.47 3.159416e+01 NA 938 17.2 25 42 4.16 44 13.4 2.537683e+02 3.976120e+05 1.2 1.2 0.315 5.4
Central African Republic 2001 Developing 45.6 54 17 1.52 3.365316e+01 NA 2837 16.8 25 4 3.95 4 13.9 2.431586e+02 3.832230e+05 1.4 1.4 0.314 5.3
Central African Republic 2000 Developing 46.0 49 16 1.51 3.078383e+01 NA 3207 16.5 25 38 4.24 37 14.3 2.435429e+02 3.754986e+06 1.5 1.5 0.312 5.2
Chad 2015 Developing 53.1 356 46 NA 0.000000e+00 46 418 19.1 77 52 NA 46 2.8 7.772488e+02 1.494130e+05 8.5 8.4 0.394 7.3
Chad 2014 Developing 52.6 362 46 0.01 1.130207e+01 37 1275 18.7 78 44 3.62 37 2.9 1.259985e+02 1.356944e+07 8.7 8.5 0.390 7.3
Chad 2013 Developing 52.2 366 46 0.64 7.652383e+01 39 226 18.2 78 46 3.42 39 3.1 9.861318e+02 1.313359e+07 8.8 8.7 0.387 7.3
Chad 2012 Developing 51.8 367 46 0.62 5.782427e+01 4 120 17.9 79 51 3.00 4 3.6 9.734726e+02 1.275135e+06 9.0 8.9 0.381 7.3
Chad 2011 Developing 51.6 365 46 0.56 6.776269e+01 33 8650 17.5 79 4 3.17 33 3.9 9.892364e+02 1.228865e+07 9.2 9.1 0.370 6.7
Chad 2010 Developing 51.2 364 46 0.50 4.357329e+01 39 194 17.1 80 43 2.95 39 4.1 8.965697e+02 1.188722e+06 9.4 9.3 0.360 6.7
Chad 2009 Developing 57.0 37 46 0.47 4.982900e+00 24 165 16.7 80 32 3.31 24 4.4 8.445594e+01 1.152786e+06 9.6 9.5 0.343 6.3
Chad 2008 Developing 49.6 394 46 0.45 4.909198e+01 17 63 16.4 80 3 2.92 19 4.7 9.297724e+02 1.113386e+07 9.8 9.7 0.338 6.0
Chad 2007 Developing 49.4 394 46 0.42 5.962923e+00 NA 441 16.1 80 38 3.35 28 4.9 8.168388e+01 1.775780e+05 1.0 1.0 0.306 5.7
Chad 2006 Developing 48.5 414 45 0.41 6.267226e+01 NA 1594 15.7 80 49 3.32 4 5.1 7.121848e+02 1.421597e+06 1.3 1.2 0.303 5.5
Chad 2005 Developing 48.6 46 45 0.42 8.936065e+00 NA 2 15.4 79 37 3.91 25 5.2 6.624214e+01 1.679000e+03 1.5 1.4 0.306 5.6
Chad 2004 Developing 48.5 45 44 0.34 7.238451e+01 NA 10324 15.1 78 31 5.72 21 5.2 4.546766e+02 9.714300e+04 1.7 1.6 0.301 5.6
Chad 2003 Developing 48.4 43 44 0.42 3.979243e+00 NA 15801 14.8 77 36 5.49 23 5.1 2.925914e+02 9.353210e+05 1.9 1.8 0.284 5.4
Chad 2002 Developing 48.1 43 43 0.36 3.039691e+00 NA 7277 14.4 76 31 8.33 25 5.0 2.285482e+01 9.168900e+04 11.1 11.0 0.303 5.1
Chad 2001 Developing 48.0 4 42 0.30 2.687439e+01 NA 24908 14.1 75 26 6.90 26 4.8 1.973156e+02 8.663120e+05 11.3 11.2 0.300 4.9
Chad 2000 Developing 47.6 44 41 0.25 2.152702e+01 NA 3546 13.9 74 3 6.28 36 4.6 1.662318e+02 8.342559e+06 11.5 11.4 0.000 4.7
Chile 2015 Developing 85.0 82 2 NA 0.000000e+00 97 9 63.8 2 96 NA 96 0.1 1.365323e+04 1.776268e+07 0.8 0.8 0.845 16.3
Chile 2014 Developing 83.0 83 2 7.16 2.353000e+03 95 0 63.1 2 95 7.79 95 0.1 1.481738e+04 1.761380e+07 0.8 0.8 0.841 16.2
Chile 2013 Developing 81.0 84 2 7.20 2.442222e+03 9 0 62.5 2 9 7.53 91 0.1 1.594140e+04 1.746298e+07 0.8 0.8 0.831 15.6
Chile 2012 Developing 79.9 84 2 6.76 2.260778e+03 9 0 61.8 2 9 7.24 9 0.1 1.543193e+04 1.739746e+06 0.8 0.8 0.826 15.5
Chile 2011 Developing 79.8 86 2 7.26 2.116143e+02 94 6 61.2 2 93 7.00 94 0.1 1.475692e+03 1.715336e+07 0.8 0.8 0.820 15.4
Chile 2010 Developing 79.1 89 2 7.93 1.774925e+02 92 0 6.6 2 92 6.97 92 0.1 1.286178e+03 1.699335e+07 0.8 0.9 0.815 15.2
Chile 2009 Developing 79.3 91 2 7.67 1.815259e+02 94 1 59.9 2 94 7.39 94 0.1 1.243328e+03 1.682944e+07 0.8 0.9 0.816 15.3
Chile 2008 Developing 79.6 88 2 7.31 2.415533e+02 95 0 59.3 2 95 6.87 95 0.1 1.781367e+03 1.666194e+07 0.9 0.9 0.804 15.2
Chile 2007 Developing 78.9 9 2 7.39 2.094876e+02 92 0 58.7 2 95 6.35 96 0.1 1.526877e+03 1.649169e+07 0.9 0.9 0.797 14.8
Chile 2006 Developing 78.9 91 2 7.33 1.275690e+03 95 0 58.1 2 94 6.18 94 0.1 9.484681e+03 1.631979e+07 0.9 0.9 0.796 14.9
Chile 2005 Developing 78.4 93 2 7.57 9.549645e+02 NA 0 57.4 2 92 6.69 91 0.1 7.615347e+03 1.614764e+06 0.9 1.0 0.790 14.6
Chile 2004 Developing 78.0 97 2 6.32 7.878565e+01 NA 0 56.8 2 94 6.93 93 0.1 6.218283e+02 1.597378e+07 0.9 1.0 0.781 14.3
Chile 2003 Developing 77.9 1 2 6.37 5.840993e+02 NA 1 56.1 2 96 7.34 96 0.1 4.787700e+03 1.579954e+07 1.0 1.0 0.775 14.0
Chile 2002 Developing 77.8 11 2 6.06 6.757808e+02 NA 0 55.4 3 97 6.48 97 0.1 4.463546e+03 1.562364e+07 1.0 1.0 0.768 13.9
Chile 2001 Developing 77.3 16 2 6.10 6.875117e+02 NA 0 54.7 3 96 6.51 97 0.1 4.595666e+03 1.544497e+07 1.0 1.0 0.761 13.7
Chile 2000 Developing 77.3 13 2 6.24 7.414843e+01 NA 0 54.0 3 91 6.40 91 0.1 5.113685e+02 1.526275e+07 1.1 1.1 0.755 13.5
China 2015 Developing 76.1 85 157 NA 0.000000e+00 99 42361 32.9 183 99 NA 99 0.1 8.692119e+02 1.371220e+05 3.6 2.9 0.734 13.5
China 2014 Developing 75.8 86 171 5.78 1.098744e+02 99 52628 31.9 198 99 5.55 99 0.1 7.683524e+03 1.364270e+05 3.7 3.0 0.723 13.1
China 2013 Developing 75.6 88 185 5.79 9.955532e+00 99 26883 3.9 216 99 5.39 99 0.1 7.777759e+02 1.357380e+05 3.8 3.2 0.713 12.7
China 2012 Developing 75.4 89 201 5.74 9.443446e+01 99 6183 3.0 233 99 5.26 99 0.1 6.337883e+03 1.356950e+05 3.9 3.3 0.703 12.4
China 2011 Developing 75.2 91 215 5.63 9.126750e+01 99 9943 29.0 251 99 5.30 99 0.1 5.633796e+03 1.344130e+05 4.1 3.5 0.700 12.8
China 2010 Developing 75.0 92 231 5.75 5.660755e+00 99 38159 28.1 268 99 4.89 99 0.1 4.565125e+02 1.337750e+05 4.2 3.6 0.691 12.5
China 2009 Developing 74.9 93 248 4.88 5.028349e+01 99 52461 27.3 288 99 5.80 99 0.1 3.838434e+03 1.331260e+05 4.4 3.8 0.682 12.2
China 2008 Developing 74.5 97 266 4.27 3.922510e+01 95 131441 26.5 308 99 4.59 97 0.1 3.471248e+03 1.324655e+06 4.5 4.0 0.672 11.9
China 2007 Developing 74.4 96 285 3.88 3.126625e+02 92 109023 25.7 332 94 4.32 93 0.1 2.695366e+03 1.317885e+06 4.7 4.1 0.659 11.4
China 2006 Developing 74.2 98 307 3.28 2.974343e+01 91 99602 24.9 360 94 4.52 93 0.1 2.992297e+02 1.311200e+04 4.8 4.3 0.646 11.0
China 2005 Developing 73.9 99 332 2.92 1.716596e+02 84 124219 24.1 392 87 4.66 87 0.1 1.753418e+03 1.337200e+04 5.0 4.4 0.634 10.6
China 2004 Developing 73.5 11 360 3.04 1.586685e+00 79 70549 23.4 427 87 4.72 87 0.1 1.586685e+02 1.296750e+05 5.1 4.6 0.622 10.2
China 2003 Developing 73.1 13 391 2.96 1.229365e+02 75 71879 22.6 467 87 4.82 86 0.1 1.288643e+03 1.288400e+04 5.3 4.7 0.610 9.9
China 2002 Developing 72.7 16 422 2.91 1.063590e+02 7 58341 21.9 511 86 4.79 86 0.1 1.148586e+03 1.284000e+03 5.5 4.9 0.600 9.7
China 2001 Developing 72.2 11 457 2.84 1.423065e+01 65 88962 21.2 558 86 4.56 86 0.1 1.531824e+02 1.271850e+05 5.7 5.0 0.592 9.6
China 2000 Developing 71.7 115 490 3.06 1.746057e+01 6 71093 2.5 608 86 4.60 85 0.1 9.593722e+02 1.262645e+06 5.9 5.1 0.583 9.5
Colombia 2015 Developing 74.8 143 10 NA 0.000000e+00 91 1 57.9 12 91 NA 91 0.1 6.445256e+02 4.822870e+07 2.1 1.9 0.724 13.6
Colombia 2014 Developing 74.6 144 11 4.38 1.435488e+03 9 0 57.2 12 9 7.20 9 0.1 7.913383e+03 4.779191e+07 2.1 1.9 0.720 13.6
Colombia 2013 Developing 74.4 145 11 4.41 1.516255e+01 91 1 56.4 13 91 6.84 91 0.1 8.358630e+01 4.734298e+07 2.1 1.9 0.712 13.3
Colombia 2012 Developing 74.3 143 11 4.44 1.487897e+03 92 1 55.7 13 91 6.93 91 0.1 7.884984e+03 4.688148e+07 2.1 1.9 0.707 13.2
Colombia 2011 Developing 74.2 144 12 4.37 1.843074e+02 85 6 55.0 14 85 6.64 85 0.1 7.227740e+03 4.646646e+06 2.2 2.0 0.700 13.0
Colombia 2010 Developing 73.6 15 12 4.28 1.132436e+02 88 0 54.2 15 88 6.76 88 0.1 6.256554e+02 4.591897e+06 2.2 2.0 0.695 12.8
Colombia 2009 Developing 73.6 15 13 4.34 9.416464e+02 92 0 53.5 15 92 7.10 92 0.1 5.148422e+03 4.541618e+07 2.2 2.0 0.691 12.4
Colombia 2008 Developing 73.5 146 14 4.45 9.780704e+02 92 0 52.8 16 92 6.62 92 0.1 5.433725e+03 4.491544e+06 2.3 2.0 0.683 12.2
Colombia 2007 Developing 73.5 144 14 4.66 7.805947e+02 93 0 52.0 17 93 6.25 93 0.1 4.674220e+03 4.437457e+07 2.3 2.1 0.675 11.9
Colombia 2006 Developing 73.1 147 15 4.53 6.243711e+01 93 0 51.3 17 94 6.11 93 0.1 3.797878e+02 4.383572e+07 2.3 2.1 0.669 11.5
Colombia 2005 Developing 73.1 144 15 4.38 5.319808e+02 93 0 5.5 18 93 5.82 93 0.1 3.386256e+03 4.328563e+07 2.4 2.1 0.658 11.1
Colombia 2004 Developing 72.8 148 16 4.26 4.217956e+01 89 0 49.8 19 89 5.37 89 0.1 2.742494e+02 4.272416e+07 2.4 2.2 0.658 11.3
Colombia 2003 Developing 72.4 15 16 4.25 4.178039e+02 92 0 49.0 19 92 5.92 92 0.1 2.246257e+03 4.215215e+07 2.5 2.2 0.659 11.6
Colombia 2002 Developing 71.8 163 17 4.45 3.938774e+02 78 139 48.2 20 83 5.67 81 0.1 2.355726e+03 4.157249e+07 2.5 2.3 0.656 11.5
Colombia 2001 Developing 71.5 165 17 4.43 4.044206e+02 8 3 47.5 21 83 5.96 8 0.1 2.395857e+03 4.988990e+05 2.5 2.3 0.653 11.4
Colombia 2000 Developing 71.4 167 18 4.66 4.771342e+02 78 1 46.7 21 82 5.91 79 0.1 2.472198e+03 4.439580e+05 2.6 2.3 0.650 11.3
Comoros 2015 Developing 63.5 227 1 NA 0.000000e+00 91 0 24.2 2 92 NA 91 0.8 7.276464e+02 7.774240e+05 6.7 6.5 0.498 11.1
Comoros 2014 Developing 63.2 23 1 0.01 7.386585e+01 88 0 23.7 2 87 6.75 87 0.8 8.529544e+02 7.593850e+05 6.8 6.6 0.497 11.1
Comoros 2013 Developing 62.9 233 1 0.01 6.157444e+01 88 0 23.2 2 85 6.51 87 0.8 8.343419e+02 7.415000e+03 6.8 6.6 0.490 10.9
Comoros 2012 Developing 62.5 237 2 0.01 7.839009e+01 89 1 22.6 2 85 7.11 86 0.8 7.886327e+02 7.238680e+05 6.9 6.7 0.484 10.8
Comoros 2011 Developing 62.2 241 2 0.12 5.965965e+01 83 3 22.1 2 85 6.10 83 0.2 8.297587e+02 7.656900e+04 7.0 6.8 0.479 10.6
Comoros 2010 Developing 61.8 246 2 0.15 4.730422e+01 74 0 21.6 2 82 5.82 74 0.1 7.691743e+02 6.896920e+05 7.1 6.9 0.476 10.5
Comoros 2009 Developing 61.3 251 2 0.17 5.698952e+01 83 1 21.1 2 84 3.82 83 0.1 7.785454e+02 6.732520e+05 7.2 7.0 0.465 10.3
Comoros 2008 Developing 61.0 255 2 0.12 9.336789e+01 81 0 2.6 2 81 5.13 81 0.1 7.959752e+02 6.572290e+05 7.2 7.1 0.461 10.2
Comoros 2007 Developing 66.0 259 2 0.16 9.087638e+00 75 0 2.1 2 75 4.93 75 0.1 7.275931e+01 6.416200e+04 7.3 7.2 0.459 10.0
Comoros 2006 Developing 63.0 262 2 0.25 7.702840e+01 69 85 19.6 2 69 4.57 69 0.1 6.483872e+02 6.264250e+05 7.4 7.3 0.451 9.9
Comoros 2005 Developing 60.0 266 2 0.24 6.996754e+01 68 912 19.2 2 67 4.32 68 0.1 6.219337e+02 6.116270e+05 7.5 7.4 0.434 9.7
Comoros 2004 Developing 59.8 269 2 0.27 7.212111e+00 77 0 18.8 2 73 3.96 76 0.1 6.164197e+02 5.972280e+05 7.5 7.5 0.000 9.5
Comoros 2003 Developing 59.6 271 2 0.26 4.509011e+01 28 0 18.4 2 8 3.65 8 0.1 5.445665e+02 5.832110e+05 7.6 7.6 0.000 9.2
Comoros 2002 Developing 59.5 271 2 0.08 2.941897e+01 NA 0 18.0 2 98 3.39 89 0.1 4.332691e+02 5.694790e+05 7.7 7.7 0.000 8.8
Comoros 2001 Developing 59.5 272 1 0.08 1.971741e+01 NA 0 17.6 2 7 2.86 7 0.1 3.959319e+02 5.558880e+05 7.8 7.8 0.000 8.5
Comoros 2000 Developing 59.5 272 1 0.09 3.502949e+01 NA 0 17.3 2 7 3.56 7 0.1 3.758529e+02 5.423570e+05 7.9 7.9 0.000 8.2
Congo 2015 Developing 64.7 267 7 NA 0.000000e+00 8 1359 27.4 10 8 NA 8 2.8 NA NA 7.5 7.1 0.590 11.1
Congo 2014 Developing 64.2 275 7 0.01 0.000000e+00 9 71 26.8 10 9 5.15 9 3.0 NA NA 7.6 7.3 0.581 11.1
Congo 2013 Developing 63.9 274 7 0.01 0.000000e+00 85 124 26.2 10 85 5.90 85 3.0 NA NA 7.7 7.4 0.576 11.1
Congo 2012 Developing 63.7 273 7 0.01 0.000000e+00 62 260 25.6 10 61 3.98 85 3.3 NA NA 7.9 7.5 0.557 10.2
Congo 2011 Developing 62.9 285 7 3.82 0.000000e+00 7 315 25.0 10 69 2.79 82 3.5 NA NA 8.0 7.6 0.558 10.7
Congo 2010 Developing 62.0 298 7 3.53 0.000000e+00 74 4 24.5 10 72 2.29 74 3.8 NA NA 8.1 7.7 0.548 10.5
Congo 2009 Developing 68.0 314 7 3.47 0.000000e+00 75 1 23.9 11 76 2.27 78 4.0 NA NA 8.3 7.9 0.545 10.3
Congo 2008 Developing 59.4 338 8 2.58 0.000000e+00 73 2 23.3 11 77 2.90 79 4.3 NA NA 8.4 8.0 0.527 10.0
Congo 2007 Developing 58.2 354 8 2.75 0.000000e+00 64 84 22.8 11 71 2.54 72 5.0 NA NA 8.5 8.2 0.517 9.8
Congo 2006 Developing 56.9 368 8 2.25 0.000000e+00 NA 126 22.3 12 73 2.37 73 5.5 NA NA 8.7 8.3 0.507 9.6
Congo 2005 Developing 55.3 394 8 2.03 0.000000e+00 NA 146 21.7 13 62 2.42 62 5.9 NA NA 8.8 8.5 0.496 9.4
Congo 2004 Developing 54.1 48 9 2.58 0.000000e+00 NA 3524 21.2 13 67 2.56 67 6.3 NA NA 9.0 8.6 0.497 9.2
Congo 2003 Developing 53.2 417 9 2.45 0.000000e+00 NA 3712 2.7 14 5 2.61 5 6.8 NA NA 9.1 8.8 0.492 9.4
Congo 2002 Developing 52.6 424 9 2.55 0.000000e+00 NA 2788 2.3 14 41 2.45 41 7.2 NA NA 9.3 8.9 0.488 9.5
Congo 2001 Developing 52.7 419 9 2.30 0.000000e+00 NA 2152 19.8 14 32 2.44 31 7.6 NA NA 9.4 9.0 0.487 9.7
Congo 2000 Developing 52.9 416 9 2.26 0.000000e+00 NA 1678 19.3 14 31 2.13 33 7.8 NA NA 9.5 9.2 0.487 9.8
Cook Islands 2013 Developing NA NA 0 0.01 0.000000e+00 98 0 82.8 0 98 3.58 98 0.1 NA NA 0.1 0.1 NA NA
Costa Rica 2015 Developing 79.6 95 1 NA 0.000000e+00 92 0 6.5 1 92 NA 92 0.1 1.146363e+03 4.878520e+05 1.7 1.7 0.775 14.2
Costa Rica 2014 Developing 79.5 96 1 3.45 3.845129e+02 91 1 59.5 1 91 9.31 91 0.1 1.647442e+03 4.757575e+06 1.7 1.7 0.768 13.9
Costa Rica 2013 Developing 79.4 96 1 3.42 3.861379e+02 94 0 58.5 1 95 9.47 95 0.1 1.569666e+03 4.764100e+04 1.7 1.7 0.762 13.7
Costa Rica 2012 Developing 79.2 97 1 3.34 2.568237e+03 91 0 57.5 1 9 9.56 91 0.1 9.985370e+03 4.654122e+06 1.8 1.7 0.758 13.6
Costa Rica 2011 Developing 79.0 98 1 3.41 2.429855e+03 84 0 56.5 1 82 9.73 85 0.1 9.186596e+03 4.647400e+04 1.8 1.7 0.752 13.4
Costa Rica 2010 Developing 78.1 16 1 3.58 2.377010e+03 89 0 55.5 1 93 9.66 88 0.1 8.199415e+03 4.545280e+05 1.8 1.8 0.749 13.3
Costa Rica 2009 Developing 79.2 96 1 4.07 2.488720e+01 87 0 54.4 1 8 9.69 86 0.1 6.893962e+02 4.488263e+06 1.9 1.8 0.747 13.1
Costa Rica 2008 Developing 78.9 99 1 4.22 1.859096e+03 89 0 53.4 1 89 9.10 9 0.1 6.911136e+03 4.429580e+05 1.9 1.8 0.740 12.9
Costa Rica 2007 Developing 78.9 93 1 4.20 1.508891e+02 89 0 52.4 1 89 8.37 89 0.1 6.126234e+02 4.369469e+06 1.9 1.9 0.734 12.8
Costa Rica 2006 Developing 78.0 16 1 4.15 1.185412e+03 88 0 51.4 1 89 7.82 89 0.1 5.245187e+03 4.387940e+05 2.0 1.9 0.727 12.6
Costa Rica 2005 Developing 78.6 97 1 4.10 1.002833e+03 9 1 5.3 1 91 7.74 91 0.1 4.697111e+03 4.247841e+06 2.0 2.0 0.723 12.4
Costa Rica 2004 Developing 77.7 12 1 4.09 1.043108e+03 89 0 49.3 1 9 7.80 9 0.1 4.425575e+03 4.187380e+05 2.1 2.0 0.719 12.2
Costa Rica 2003 Developing 78.0 1 1 4.04 1.070269e+03 86 1 48.3 1 88 8.45 88 0.1 4.167714e+03 4.125971e+06 2.2 2.1 0.715 12.1
Costa Rica 2002 Developing 78.3 99 1 4.17 1.129494e+02 94 0 47.3 1 94 8.23 94 0.1 4.621497e+02 4.632400e+04 2.2 2.2 0.712 11.9
Costa Rica 2001 Developing 77.5 1 1 4.29 8.683714e+02 8 0 46.4 1 92 7.25 91 0.1 3.981528e+03 3.996798e+06 2.3 2.2 0.708 11.7
Costa Rica 2000 Developing 77.6 98 1 4.34 9.417819e+01 89 0 45.4 1 8 7.12 88 0.1 3.883637e+02 3.925443e+06 2.4 2.3 0.702 11.6
Croatia 2015 Developed 78.0 95 0 NA 0.000000e+00 94 206 63.7 0 94 NA 94 0.1 1.157967e+04 4.236400e+04 1.5 1.4 0.823 15.3
Croatia 2014 Developed 77.8 97 0 12.14 1.884099e+03 95 0 63.1 0 95 7.80 95 0.1 1.346747e+04 4.238389e+06 1.5 1.5 0.820 15.1
Croatia 2013 Developed 77.7 97 0 12.39 1.899107e+03 96 0 62.5 0 96 7.83 96 0.1 1.357475e+04 4.255689e+06 1.5 1.5 0.817 14.9
Croatia 2012 Developed 77.1 14 0 11.49 1.851713e+03 98 2 61.9 0 96 7.80 96 0.1 1.323598e+04 4.267558e+06 1.5 1.5 0.815 14.6
Croatia 2011 Developed 77.0 14 0 12.19 1.913357e+03 97 12 61.3 0 96 7.80 96 0.1 1.453918e+04 4.286220e+05 1.6 1.5 0.808 14.5
Croatia 2010 Developed 76.6 16 0 12.10 2.068868e+02 97 7 6.6 0 97 8.25 97 0.1 1.355746e+03 4.417781e+06 1.6 1.6 0.803 14.2
Croatia 2009 Developed 76.3 19 0 12.21 2.160380e+03 97 2 6.0 0 96 8.18 96 0.1 1.415714e+04 4.429780e+05 1.7 1.6 0.803 14.2
Croatia 2008 Developed 76.0 116 0 12.06 2.425404e+03 97 51 59.4 0 96 7.70 96 0.1 1.589387e+04 4.434580e+05 1.7 1.7 0.800 14.3
Croatia 2007 Developed 75.8 114 0 12.56 2.019813e+03 95 0 58.7 0 96 7.44 96 0.1 1.354670e+04 4.436000e+03 1.8 1.7 0.793 14.3
Croatia 2006 Developed 75.9 113 0 11.83 1.555652e+03 NA 1 58.1 0 96 6.95 96 0.1 1.136342e+04 4.440000e+02 1.8 1.8 0.783 13.9
Croatia 2005 Developed 75.2 116 0 11.59 1.672320e+02 NA 2 57.5 0 96 6.89 96 0.1 1.224246e+03 4.442000e+03 1.8 1.8 0.777 13.6
Croatia 2004 Developed 75.4 114 0 13.11 1.116397e+03 NA 54 56.9 0 96 6.56 96 0.1 9.365742e+03 4.439000e+03 1.9 1.9 0.771 13.3
Croatia 2003 Developed 74.7 122 0 13.78 9.367706e+01 NA 19 56.3 0 95 6.35 94 0.1 7.858814e+02 4.440000e+02 1.9 1.9 0.765 12.9
Croatia 2002 Developed 74.8 124 0 13.39 1.163615e+01 NA 6 55.8 0 95 6.19 95 0.1 6.537164e+02 4.440000e+02 2.0 2.0 0.759 12.6
Croatia 2001 Developed 74.9 126 0 13.15 6.509568e+02 NA 8 55.2 0 94 7.16 94 0.1 5.245421e+03 4.440000e+02 2.0 2.0 0.749 12.3
Croatia 2000 Developed 74.7 127 0 12.73 6.493910e+02 NA 9 54.7 0 94 7.66 93 0.1 4.919629e+03 4.426000e+03 2.1 2.1 0.739 12.2
Cuba 2015 Developing 79.1 92 1 NA 0.000000e+00 99 0 61.4 1 99 NA 99 0.1 7.622612e+02 NA 3.5 3.3 0.773 13.9
Cuba 2014 Developing 79.0 93 1 4.37 1.366910e+01 97 0 6.7 1 99 11.60 99 0.1 7.551990e+01 NA 3.4 3.3 0.772 14.0
Cuba 2013 Developing 78.7 96 1 4.18 9.567571e+01 96 0 59.9 1 99 9.48 99 0.1 6.761534e+02 NA 3.4 3.3 0.773 14.7
Cuba 2012 Developing 78.7 96 1 4.16 7.421962e+02 96 0 59.2 1 98 8.59 99 0.1 6.425941e+03 NA 3.4 3.2 0.778 15.7
Cuba 2011 Developing 78.8 92 1 4.14 1.020646e+02 96 0 58.4 1 99 1.60 97 0.1 6.759244e+02 NA 3.4 3.2 0.780 16.5
Cuba 2010 Developing 78.0 98 1 4.13 7.872808e+02 96 0 57.7 1 99 1.19 96 0.1 5.676141e+03 NA 3.4 3.2 0.784 17.6
Cuba 2009 Developing 78.1 11 1 4.01 8.188771e+02 96 0 56.9 1 99 11.78 96 0.1 5.484776e+03 NA 3.4 3.2 0.782 17.7
Cuba 2008 Developing 77.9 12 1 4.26 7.086158e+02 95 0 56.2 1 99 1.79 95 0.1 5.376448e+03 NA 3.4 3.2 0.771 17.1
Cuba 2007 Developing 78.1 14 1 4.13 7.507148e+02 93 0 55.4 1 99 1.42 93 0.1 5.184494e+03 NA 3.4 3.2 0.754 16.0
Cuba 2006 Developing 78.0 14 1 4.17 5.234724e+02 89 0 54.6 1 99 7.67 89 0.1 4.669692e+03 NA 3.4 3.2 0.732 14.7
Cuba 2005 Developing 77.2 19 1 4.48 5.189359e+02 95 0 53.8 1 99 9.39 89 0.1 3.779577e+03 NA 3.4 3.3 0.719 14.2
Cuba 2004 Developing 77.3 17 1 4.38 4.484255e+00 99 0 53.0 1 98 6.14 88 0.1 3.397163e+02 NA 3.4 3.3 0.705 13.2
Cuba 2003 Developing 77.4 18 1 4.39 6.034145e+01 99 0 52.1 1 98 6.31 72 0.1 3.192669e+03 NA 3.5 3.3 0.694 12.9
Cuba 2002 Developing 77.7 19 1 4.10 3.347672e+02 98 0 51.3 1 98 6.50 99 0.1 2.994340e+03 NA 3.5 3.3 0.692 12.5
Cuba 2001 Developing 76.7 115 1 4.04 3.225863e+02 98 0 5.4 1 99 6.27 98 0.1 2.832189e+03 NA 3.6 3.4 0.686 12.3
Cuba 2000 Developing 76.9 115 1 3.92 4.934008e+01 98 0 49.4 1 98 6.70 95 0.1 2.741115e+03 NA 3.6 3.4 0.679 12.1
Cyprus 2015 Developed 85.0 52 0 NA 0.000000e+00 97 0 6.3 0 97 NA 97 0.1 2.375113e+03 1.169850e+05 1.0 1.0 0.854 14.3
Cyprus 2014 Developed 83.0 53 0 0.01 2.073042e+02 96 10 59.8 0 99 7.37 99 0.1 2.734884e+03 1.152390e+05 0.9 1.0 0.850 14.0
Cyprus 2013 Developed 81.0 54 0 9.04 2.120859e+02 96 0 59.2 0 99 7.46 99 0.1 2.797967e+03 1.143896e+06 0.9 1.0 0.850 13.8
Cyprus 2012 Developed 80.0 56 0 10.55 2.159756e+03 96 1 58.7 0 99 7.44 99 0.1 2.895116e+04 1.135620e+05 0.9 1.0 0.850 13.8
Cyprus 2011 Developed 79.7 57 0 10.69 2.443325e+03 96 0 58.3 0 99 7.54 99 0.1 3.223384e+04 1.124835e+06 0.9 1.0 0.847 13.8
Cyprus 2010 Developed 79.5 59 0 11.32 2.833300e+02 96 18 57.8 0 99 7.23 99 0.1 3.818464e+03 1.112670e+05 0.9 1.0 0.853 14.6
Cyprus 2009 Developed 79.3 6 0 10.80 2.302524e+02 96 0 57.3 0 99 7.40 99 0.1 3.215816e+03 1.987600e+04 0.9 1.0 0.849 14.1
Cyprus 2008 Developed 79.1 62 0 12.01 2.396410e+02 93 1 56.8 0 97 6.89 97 0.1 3.539749e+03 1.815630e+05 0.9 1.0 0.844 13.7
Cyprus 2007 Developed 78.9 63 0 11.56 1.958526e+03 93 0 56.3 0 97 6.50 97 0.1 3.138663e+04 1.637120e+05 0.9 1.0 0.836 13.5
Cyprus 2006 Developed 78.8 64 0 11.47 1.700842e+03 93 0 55.8 0 97 6.28 97 0.1 2.716999e+04 1.455900e+04 0.9 1.0 0.829 13.4
Cyprus 2005 Developed 78.7 65 0 11.41 1.562521e+03 88 1 55.3 0 98 6.37 98 0.1 2.532449e+04 1.276580e+05 0.9 1.0 0.826 13.5
Cyprus 2004 Developed 78.6 65 0 13.03 1.586724e+03 88 0 54.8 0 98 6.42 98 0.1 2.393249e+04 1.141000e+03 0.9 1.0 0.823 13.4
Cyprus 2003 Developed 78.5 66 0 10.62 1.587087e+02 88 0 54.3 0 98 6.83 98 0.1 2.293479e+03 9.935630e+05 0.9 1.0 0.815 13.0
Cyprus 2002 Developed 78.4 68 0 11.68 1.128051e+03 88 0 53.8 0 98 6.12 98 0.1 1.637229e+04 9.769660e+05 0.9 1.0 0.805 12.5
Cyprus 2001 Developed 78.2 69 0 10.16 1.008086e+02 89 0 53.3 0 97 5.78 97 0.1 1.562924e+03 9.628200e+04 0.9 1.0 0.800 12.4
Cyprus 2000 Developed 78.1 7 0 9.56 9.508028e+02 89 0 52.8 0 97 5.77 97 0.1 1.467288e+04 9.432860e+05 0.9 1.0 0.798 12.5
Czechia 2015 Developed 78.8 86 0 NA 0.000000e+00 97 9 66.1 0 97 NA 97 0.1 NA NA 1.8 1.8 NA NA
Czechia 2014 Developed 78.6 88 0 12.68 0.000000e+00 99 222 65.6 0 99 7.41 97 0.1 NA NA 1.8 1.9 NA NA
Czechia 2013 Developed 78.2 9 0 12.45 0.000000e+00 99 15 65.1 0 99 7.49 98 0.1 NA NA 1.8 1.9 NA NA
Czechia 2012 Developed 78.0 93 0 12.71 0.000000e+00 99 22 64.5 0 99 7.55 99 0.1 NA NA 1.8 1.9 NA NA
Czechia 2011 Developed 77.8 97 0 12.43 0.000000e+00 99 17 64.0 0 99 7.50 99 0.1 NA NA 1.9 1.9 NA NA
Czechia 2010 Developed 77.5 99 0 12.69 0.000000e+00 99 0 63.6 0 99 7.43 99 0.1 NA NA 1.9 2.0 NA NA
Czechia 2009 Developed 77.1 12 0 13.23 0.000000e+00 99 5 63.1 0 99 7.85 99 0.1 NA NA 1.9 2.0 NA NA
Czechia 2008 Developed 77.0 16 0 13.25 0.000000e+00 99 2 62.6 0 99 6.82 99 0.1 NA NA 1.9 2.0 NA NA
Czechia 2007 Developed 76.8 17 0 13.43 0.000000e+00 99 2 62.2 0 99 6.52 99 0.1 NA NA 2.0 2.1 NA NA
Czechia 2006 Developed 76.5 19 0 13.03 0.000000e+00 98 7 61.8 0 98 6.69 98 0.1 NA NA 2.0 2.1 NA NA
Czechia 2005 Developed 75.9 114 0 13.19 0.000000e+00 99 0 61.3 0 96 6.93 97 0.1 NA NA 2.1 2.1 NA NA
Czechia 2004 Developed 75.8 116 0 13.24 0.000000e+00 98 17 6.8 0 96 6.90 98 0.1 NA NA 2.1 2.2 NA NA
Czechia 2003 Developed 75.2 122 0 13.01 0.000000e+00 92 30 6.4 0 97 7.13 97 0.1 NA NA 2.2 2.2 NA NA
Czechia 2002 Developed 75.3 12 0 13.47 0.000000e+00 86 4 59.9 0 97 6.80 98 0.1 NA NA 2.2 2.3 NA NA
Czechia 2001 Developed 75.1 123 0 13.36 0.000000e+00 NA 6 59.4 0 97 6.42 98 0.1 NA NA 2.2 2.3 NA NA
Czechia 2000 Developed 74.7 126 0 13.22 0.000000e+00 NA 9 59.0 0 98 6.31 98 0.1 NA NA 2.3 2.3 NA NA
Democratic People’s Republic of Korea 2015 Developing 76.0 139 6 NA 0.000000e+00 96 0 32.9 7 99 NA 96 0.1 NA NA 4.9 4.9 NA NA
Democratic People’s Republic of Korea 2014 Developing 73.0 142 6 0.01 0.000000e+00 93 3 32.4 8 99 NA 93 0.1 NA NA 4.9 4.9 NA NA
Democratic People’s Republic of Korea 2013 Developing 71.0 146 6 3.35 0.000000e+00 93 0 31.8 8 99 NA 93 0.1 NA NA 5.0 5.0 NA NA
Democratic People’s Republic of Korea 2012 Developing 69.8 149 7 3.61 0.000000e+00 96 0 31.3 9 99 NA 96 0.1 NA NA 5.1 5.1 NA NA
Democratic People’s Republic of Korea 2011 Developing 69.4 153 8 3.39 0.000000e+00 94 0 3.8 10 99 NA 94 0.1 NA NA 5.1 5.2 NA NA
Democratic People’s Republic of Korea 2010 Developing 69.0 157 8 3.12 0.000000e+00 93 0 3.3 10 99 NA 93 0.1 NA NA 5.2 5.2 NA NA
Democratic People’s Republic of Korea 2009 Developing 68.7 161 9 3.35 0.000000e+00 93 0 29.7 11 98 NA 93 0.1 NA NA 5.3 5.3 NA NA
Democratic People’s Republic of Korea 2008 Developing 68.6 164 9 3.16 0.000000e+00 92 8 29.2 12 98 NA 92 0.1 NA NA 5.4 5.4 NA NA
Democratic People’s Republic of Korea 2007 Developing 68.5 166 9 3.13 0.000000e+00 92 3550 28.7 12 99 NA 92 0.1 NA NA 5.5 5.5 NA NA
Democratic People’s Republic of Korea 2006 Developing 68.5 165 10 3.28 0.000000e+00 96 0 28.2 12 98 NA 89 0.1 NA NA 5.6 5.6 NA NA
Democratic People’s Republic of Korea 2005 Developing 68.5 165 10 3.21 0.000000e+00 92 0 27.7 13 97 NA 79 0.1 NA NA 5.7 5.7 NA NA
Democratic People’s Republic of Korea 2004 Developing 68.4 165 11 3.13 0.000000e+00 98 0 27.2 14 99 NA 72 0.1 NA NA 5.7 5.7 NA NA
Democratic People’s Republic of Korea 2003 Developing 68.1 165 12 3.13 0.000000e+00 27 0 26.7 15 99 NA 68 0.1 NA NA 5.8 5.8 NA NA
Democratic People’s Republic of Korea 2002 Developing 67.6 167 14 3.08 0.000000e+00 NA 0 26.2 18 99 NA 64 0.1 NA NA 5.9 5.9 NA NA
Democratic People’s Republic of Korea 2001 Developing 66.6 177 16 2.53 0.000000e+00 NA 0 25.7 21 98 NA 62 0.1 NA NA 5.9 6.0 NA NA
Democratic People’s Republic of Korea 2000 Developing 65.4 192 18 3.52 0.000000e+00 NA 0 25.2 25 93 NA 56 0.1 NA NA 6.0 6.0 NA NA
Democratic Republic of the Congo 2015 Developing 59.8 258 236 NA 0.000000e+00 81 5020 21.6 308 78 NA 81 1.1 NA NA 9.5 9.3 NA NA
Democratic Republic of the Congo 2014 Developing 59.3 266 237 0.01 0.000000e+00 8 33711 21.1 312 79 4.33 8 1.1 NA NA 9.7 9.5 NA NA
Democratic Republic of the Congo 2013 Developing 58.8 272 238 0.01 0.000000e+00 74 88381 2.6 314 74 3.89 74 1.2 NA NA 9.9 9.6 NA NA
Democratic Republic of the Congo 2012 Developing 58.3 277 239 0.01 0.000000e+00 75 72029 2.1 317 76 3.77 75 1.5 NA NA 1.0 9.8 NA NA
Democratic Republic of the Congo 2011 Developing 57.9 278 239 1.82 0.000000e+00 74 133802 19.6 319 77 3.53 74 1.6 NA NA 1.2 1.0 NA NA
Democratic Republic of the Congo 2010 Developing 57.4 283 239 1.81 0.000000e+00 6 5407 19.1 321 76 4.40 6 1.6 NA NA 1.4 1.2 NA NA
Democratic Republic of the Congo 2009 Developing 56.7 292 238 2.13 0.000000e+00 72 57 18.6 323 78 5.61 72 1.7 NA NA 1.6 1.4 NA NA
Democratic Republic of the Congo 2008 Developing 56.3 295 237 2.09 0.000000e+00 65 12461 18.2 324 64 4.46 65 1.8 NA NA 1.8 1.7 NA NA
Democratic Republic of the Congo 2007 Developing 55.7 299 236 1.52 0.000000e+00 7 55577 17.8 326 72 3.61 7 1.9 NA NA 11.1 1.9 NA NA
Democratic Republic of the Congo 2006 Developing 55.0 36 235 1.53 0.000000e+00 NA 80123 17.3 327 62 3.39 62 2.0 NA NA 11.3 11.1 NA NA
Democratic Republic of the Congo 2005 Developing 54.3 314 233 1.43 0.000000e+00 NA 182485 16.9 329 6 3.14 6 2.0 NA NA 11.5 11.3 NA NA
Democratic Republic of the Congo 2004 Developing 53.5 323 232 1.44 0.000000e+00 NA 44934 16.5 330 52 3.34 54 2.1 NA NA 11.7 11.5 NA NA
Democratic Republic of the Congo 2003 Developing 52.8 332 231 1.83 0.000000e+00 NA 21956 16.1 331 47 3.20 41 2.2 NA NA 11.9 11.7 NA NA
Democratic Republic of the Congo 2002 Developing 52.1 341 229 1.85 0.000000e+00 NA 30466 15.7 331 4 2.59 38 2.4 NA NA 12.1 11.9 NA NA
Democratic Republic of the Congo 2001 Developing 51.8 34 227 1.90 0.000000e+00 NA 8072 15.3 332 3 2.67 3 2.4 NA NA 12.2 12.1 NA NA
Democratic Republic of the Congo 2000 Developing 51.3 346 226 1.98 0.000000e+00 NA 8282 14.9 332 42 1.45 4 2.5 NA NA 12.4 12.3 NA NA
Denmark 2015 Developed 86.0 71 0 NA 0.000000e+00 NA 9 58.8 0 93 NA 93 0.1 5.314644e+03 5.683483e+06 1.1 0.9 0.923 19.2
Denmark 2014 Developed 84.0 73 0 9.64 1.046876e+04 NA 27 58.4 0 94 1.80 94 0.1 6.242554e+04 5.643475e+06 1.1 0.9 0.926 19.2
Denmark 2013 Developed 81.0 75 0 9.50 1.026176e+04 NA 17 58.1 0 94 11.25 94 0.1 6.119119e+04 5.614932e+06 1.1 0.9 0.924 18.7
Denmark 2012 Developed 80.0 76 0 9.26 9.284171e+02 NA 2 57.7 0 94 1.98 94 0.1 5.857521e+03 5.591572e+06 1.1 0.9 0.922 18.4
Denmark 2011 Developed 79.7 79 0 10.47 1.025111e+04 NA 84 57.4 0 91 1.87 91 0.1 6.175367e+04 5.575720e+05 1.1 0.9 0.910 16.9
Denmark 2010 Developed 79.2 84 0 10.28 9.544866e+02 NA 5 57.0 0 9 11.80 9 0.1 5.841411e+03 5.547683e+06 1.1 0.9 0.906 16.8
Denmark 2009 Developed 78.9 86 0 10.08 9.765617e+03 NA 6 56.6 0 89 11.47 89 0.1 5.816329e+04 5.523950e+05 1.1 0.9 0.906 16.8
Denmark 2008 Developed 78.8 88 0 10.70 1.076118e+04 NA 14 56.3 0 88 1.18 88 0.1 6.432267e+04 5.493621e+06 1.1 0.9 0.906 16.8
Denmark 2007 Developed 78.4 93 0 10.99 9.703068e+03 NA 2 55.9 0 87 9.99 87 0.1 5.848745e+04 5.461438e+06 1.2 0.9 0.904 16.7
Denmark 2006 Developed 78.1 93 0 11.02 8.509545e+02 NA 27 55.4 0 93 9.92 93 0.1 5.226993e+03 5.437272e+06 1.2 0.9 0.902 16.9
Denmark 2005 Developed 78.1 92 0 11.28 7.627412e+03 NA 2 55.0 0 93 9.77 93 0.1 4.879982e+04 5.419432e+06 1.2 1.0 0.897 16.6
Denmark 2004 Developed 77.7 98 0 11.27 6.948840e+03 NA 0 54.4 0 95 9.67 95 0.1 4.651165e+04 5.445230e+05 1.2 1.0 0.893 16.5
Denmark 2003 Developed 77.3 11 0 11.54 6.509814e+02 NA 0 53.9 0 96 9.51 96 0.1 4.458776e+03 5.395740e+05 1.2 1.0 0.882 16.3
Denmark 2002 Developed 77.0 14 0 11.34 4.801546e+03 NA 32 53.3 0 98 9.33 98 0.1 3.322869e+04 5.375931e+06 1.2 1.0 0.875 16.6
Denmark 2001 Developed 77.0 12 0 11.56 5.304832e+02 NA 11 52.8 0 97 9.10 97 0.1 3.751649e+03 5.358783e+06 1.3 1.0 0.862 16.2
Denmark 2000 Developed 76.9 12 0 11.69 5.087497e+02 NA 14 52.2 0 97 8.70 97 0.1 3.743559e+03 5.339616e+06 1.3 1.0 0.860 16.5
Djibouti 2015 Developing 63.5 241 1 NA 0.000000e+00 84 47 35.0 1 84 NA 84 2.1 1.862167e+03 9.274140e+05 5.6 5.4 0.470 6.3
Djibouti 2014 Developing 63.0 252 1 0.38 2.473300e+01 78 0 34.4 1 78 1.57 78 2.1 1.749151e+02 9.121640e+05 5.6 5.4 0.467 6.3
Djibouti 2013 Developing 62.7 256 1 0.53 2.294410e+02 82 28 33.8 2 82 9.14 82 2.1 1.622638e+03 8.966880e+05 5.6 5.4 0.464 6.3
Djibouti 2012 Developing 62.2 263 1 0.52 2.172126e+02 81 709 33.2 2 81 8.95 81 1.9 1.536157e+03 8.811850e+05 5.6 5.5 0.460 6.3
Djibouti 2011 Developing 61.8 268 1 0.39 2.035975e+01 87 49 32.7 2 87 8.71 87 2.7 1.439869e+02 8.659370e+05 5.6 5.5 0.451 5.9
Djibouti 2010 Developing 61.3 273 1 0.44 1.874960e+02 88 7 32.2 2 88 8.84 88 3.1 1.325997e+03 8.511460e+05 5.6 5.6 0.441 5.5
Djibouti 2009 Developing 69.0 279 1 0.49 1.772672e+02 89 48 31.7 2 89 8.37 89 3.2 1.253657e+03 8.368400e+04 5.7 5.6 0.436 5.3
Djibouti 2008 Developing 62.0 289 1 0.49 1.717686e+02 88 143 31.3 2 89 8.50 89 3.3 1.214771e+03 8.229340e+05 5.7 5.6 0.427 5.0
Djibouti 2007 Developing 59.8 296 1 0.45 2.086879e+01 25 24 3.9 2 88 7.72 88 3.5 1.475869e+02 8.942000e+03 5.8 5.7 0.416 4.5
Djibouti 2006 Developing 59.1 39 2 1.02 1.214812e+02 NA 49 3.6 2 72 7.50 72 3.7 9.656694e+02 7.962800e+04 5.8 5.7 0.405 4.3
Djibouti 2005 Developing 58.6 318 2 1.23 1.270326e+01 NA 298 3.2 2 71 7.21 71 3.9 9.472975e+01 7.832540e+05 5.9 5.8 0.396 4.0
Djibouti 2004 Developing 58.1 326 2 1.18 1.060355e+02 NA 71 29.8 2 64 6.76 64 4.0 8.641847e+02 7.775200e+04 6.0 5.9 0.388 3.7
Djibouti 2003 Developing 58.0 325 2 1.02 9.413303e+01 NA 37 29.4 2 68 6.22 68 4.2 8.199741e+02 7.586150e+05 6.1 5.9 0.378 3.5
Djibouti 2002 Developing 57.9 322 2 1.03 1.346662e+01 NA 50 29.0 2 62 5.45 62 4.3 7.921541e+02 7.462210e+05 6.2 6.0 0.372 3.3
Djibouti 2001 Developing 57.7 323 2 0.95 9.249789e+01 NA 79 28.6 2 49 5.37 53 4.3 7.812322e+02 7.327110e+05 6.3 6.1 0.363 2.9
Djibouti 2000 Developing 57.4 325 2 1.34 9.195076e+01 NA 183 28.2 2 46 5.75 46 4.1 7.681768e+02 7.175840e+05 6.4 6.1 0.361 2.9
Dominica 2013 Developing NA NA 0 0.01 1.141956e+01 96 0 58.4 0 96 5.58 96 0.1 7.227567e+02 NA 2.7 2.6 0.721 12.7
Dominican Republic 2015 Developing 73.9 152 6 NA 0.000000e+00 81 0 58.9 7 87 NA 85 0.3 6.468472e+03 1.528394e+06 3.3 3.2 0.718 13.2
Dominican Republic 2014 Developing 73.6 154 6 5.92 1.088245e+03 89 0 57.9 7 9 4.38 91 0.3 6.268692e+03 1.458440e+05 3.3 3.2 0.712 13.2
Dominican Republic 2013 Developing 73.4 157 6 5.93 9.752212e+01 8 0 56.8 7 82 4.12 83 0.3 6.275554e+02 1.281296e+06 3.3 3.2 0.709 13.2
Dominican Republic 2012 Developing 72.1 174 6 5.93 8.571307e+02 74 0 55.8 7 85 4.26 85 0.4 5.968877e+03 1.154950e+05 3.3 3.2 0.706 13.1
Dominican Republic 2011 Developing 73.1 16 6 5.91 8.437877e+02 8 2 54.7 7 84 4.22 84 0.7 5.759643e+03 1.279500e+04 3.3 3.2 0.703 13.0
Dominican Republic 2010 Developing 72.7 166 6 6.02 6.645585e+02 83 0 53.6 8 85 4.60 88 0.9 5.451670e+03 9.897985e+06 3.3 3.3 0.697 12.9
Dominican Republic 2009 Developing 73.6 157 6 6.05 5.878828e+02 8 0 52.6 8 85 4.41 82 1.2 4.952678e+03 9.767758e+06 3.4 3.3 0.695 12.9
Dominican Republic 2008 Developing 73.3 161 6 6.12 4.909242e+01 81 0 51.5 8 86 4.20 82 1.4 5.113794e+02 9.636520e+05 3.4 3.3 0.692 12.8
Dominican Republic 2007 Developing 72.9 164 6 6.05 7.482175e+01 81 0 5.4 8 86 4.34 85 1.6 4.647314e+03 9.543530e+05 3.4 3.4 0.685 12.7
Dominican Republic 2006 Developing 72.3 178 7 6.20 3.529551e+02 84 0 49.3 8 88 4.34 89 1.8 3.836469e+03 9.371338e+06 3.5 3.4 0.677 12.6
Dominican Republic 2005 Developing 69.7 28 7 5.71 2.897419e+02 87 0 48.2 8 86 4.26 87 2.0 3.681599e+03 9.237566e+06 3.5 3.4 0.668 12.6
Dominican Republic 2004 Developing 69.3 214 7 5.16 1.826163e+02 82 0 47.2 8 66 4.28 79 2.1 2.421966e+03 9.129980e+05 3.6 3.5 0.666 12.5
Dominican Republic 2003 Developing 73.0 22 7 6.32 2.930197e+02 79 0 46.1 8 65 5.53 79 2.3 2.372629e+03 8.967760e+05 3.6 3.5 0.665 12.4
Dominican Republic 2002 Developing 71.4 189 7 6.43 4.673592e+00 63 0 45.1 8 74 5.79 82 2.4 3.846578e+01 8.832285e+06 3.7 3.6 0.660 12.3
Dominican Republic 2001 Developing 71.2 188 7 6.13 3.400240e+02 66 113 44.1 9 71 5.59 72 2.5 2.862155e+03 8.697126e+06 3.8 3.6 0.656 12.3
Dominican Republic 2000 Developing 72.0 176 7 6.58 4.479248e+01 68 253 43.1 9 71 5.90 78 2.5 2.824242e+02 8.562622e+06 3.8 3.7 0.651 12.2
Ecuador 2015 Developing 76.2 118 6 NA 0.000000e+00 78 0 54.2 7 84 NA 78 0.1 6.256222e+02 1.614437e+07 1.2 1.1 0.739 14.0
Ecuador 2014 Developing 76.0 121 6 3.82 7.911626e+01 83 0 53.5 7 84 9.16 83 0.1 6.432217e+03 1.593112e+06 1.2 1.1 0.737 14.0
Ecuador 2013 Developing 76.0 121 6 3.77 5.912850e+01 87 0 52.8 8 87 7.29 87 0.1 6.749829e+02 1.566155e+07 1.3 1.1 0.725 13.4
Ecuador 2012 Developing 75.5 127 7 3.92 4.188088e+01 88 72 52.1 8 85 6.48 87 0.1 5.721431e+02 1.541967e+07 1.3 1.2 0.717 13.3
Ecuador 2011 Developing 75.3 131 7 3.99 3.447412e+02 88 257 51.4 8 85 5.92 88 0.1 5.223352e+03 1.517736e+07 1.3 1.2 0.710 13.2
Ecuador 2010 Developing 75.0 134 7 3.95 3.679286e+02 9 0 5.7 8 88 5.90 91 0.1 4.657324e+03 1.493469e+06 1.3 1.2 0.703 13.1
Ecuador 2009 Developing 75.1 137 7 3.87 2.821440e+02 91 0 5.0 8 91 5.58 94 0.1 4.255566e+03 1.469128e+07 1.3 1.2 0.702 13.1
Ecuador 2008 Developing 74.6 139 7 3.76 1.979303e+02 93 1 49.3 9 94 5.66 96 0.1 4.274953e+03 1.444756e+07 1.3 1.2 0.698 13.0
Ecuador 2007 Developing 74.7 14 7 3.63 1.960468e+01 94 0 48.6 9 95 5.94 96 0.2 3.597189e+02 1.425453e+06 1.4 1.3 0.696 12.9
Ecuador 2006 Developing 74.4 144 8 3.52 1.913983e+01 96 0 47.9 9 92 5.86 96 0.3 3.357865e+02 1.396748e+06 1.4 1.3 0.693 12.8
Ecuador 2005 Developing 74.2 151 8 3.54 1.809317e+01 92 0 47.2 9 89 5.87 92 0.3 3.219425e+02 1.373523e+07 1.4 1.3 0.688 12.8
Ecuador 2004 Developing 74.4 148 8 3.65 1.637920e+01 88 0 46.5 9 9 6.22 88 0.3 2.785579e+02 1.359647e+06 1.5 1.3 0.682 12.7
Ecuador 2003 Developing 74.4 151 8 3.69 1.826183e+01 82 0 45.8 10 97 6.46 87 0.3 2.444690e+02 1.328961e+06 1.5 1.4 0.679 12.6
Ecuador 2002 Developing 73.6 157 8 3.88 1.873844e+02 75 0 45.1 10 88 4.62 88 0.3 2.183967e+03 1.372600e+04 1.5 1.4 0.675 12.5
Ecuador 2001 Developing 73.4 158 9 4.13 1.458874e+01 69 2 44.3 10 9 3.86 89 0.3 1.937416e+02 1.285276e+07 1.6 1.5 0.670 12.4
Ecuador 2000 Developing 72.8 163 9 3.99 8.417527e+01 36 0 43.6 11 83 3.38 87 0.3 1.451298e+03 1.262860e+07 1.6 1.5 0.668 12.4
Egypt 2015 Developing 79.0 159 51 NA 0.000000e+00 93 5432 61.1 60 93 NA 93 0.1 NA NA 2.8 2.8 0.688 13.1
Egypt 2014 Developing 78.0 161 53 0.21 0.000000e+00 94 1314 6.2 62 94 5.64 94 0.1 NA NA 2.8 2.8 0.686 13.1
Egypt 2013 Developing 79.0 159 54 0.21 0.000000e+00 97 405 59.4 63 97 5.46 97 0.1 NA NA 2.9 2.8 0.681 12.8
Egypt 2012 Developing 72.0 165 54 0.23 0.000000e+00 93 245 58.6 64 93 5.29 93 0.1 NA NA 2.9 2.8 0.673 12.4
Egypt 2011 Developing 74.0 168 55 0.22 0.000000e+00 96 26 57.8 64 96 5.40 96 0.1 NA NA 2.9 2.9 0.671 12.4
Egypt 2010 Developing 70.0 173 54 0.22 0.000000e+00 97 16 57.0 64 97 4.80 97 0.1 NA NA 3.0 2.9 0.665 12.2
Egypt 2009 Developing 69.9 174 54 0.21 0.000000e+00 97 608 56.2 64 97 5.10 97 0.1 NA NA 3.0 3.0 0.659 12.0
Egypt 2008 Developing 69.8 172 54 0.24 0.000000e+00 97 668 55.5 65 97 4.82 97 0.1 NA NA 3.1 3.0 0.651 11.9
Egypt 2007 Developing 69.7 171 55 0.21 0.000000e+00 98 1684 54.8 65 98 4.95 98 0.1 NA NA 3.1 3.1 0.644 11.7
Egypt 2006 Developing 69.5 175 55 0.18 0.000000e+00 98 953 54.2 66 98 5.24 98 0.1 NA NA 3.2 3.1 0.636 11.5
Egypt 2005 Developing 69.4 174 56 0.16 0.000000e+00 98 77 53.5 68 98 5.60 98 0.1 NA NA 3.2 3.2 0.629 11.4
Egypt 2004 Developing 69.0 176 57 0.16 0.000000e+00 97 80 52.9 70 97 5.21 97 0.1 NA NA 3.3 3.2 0.623 11.2
Egypt 2003 Developing 68.6 178 59 0.15 0.000000e+00 98 164 52.3 72 98 5.41 98 0.1 NA NA 3.3 3.3 0.621 11.3
Egypt 2002 Developing 68.7 177 61 0.15 0.000000e+00 97 653 51.8 75 97 5.97 97 0.1 NA NA 3.4 3.4 0.617 11.2
Egypt 2001 Developing 68.6 177 63 0.14 0.000000e+00 99 2150 51.2 78 99 5.75 99 0.1 NA NA 3.5 3.4 0.612 11.1
Egypt 2000 Developing 68.8 171 65 0.14 0.000000e+00 98 2633 5.7 82 98 5.55 98 0.1 NA NA 3.6 3.5 0.606 11.0
El Salvador 2015 Developing 73.5 178 2 NA 0.000000e+00 91 0 56.1 2 92 NA 91 0.2 4.127118e+03 6.312478e+06 1.6 1.5 0.678 13.2
El Salvador 2014 Developing 73.3 181 2 2.52 6.657260e+02 93 0 55.4 2 93 6.77 94 0.2 3.988772e+03 6.281189e+06 1.6 1.6 0.676 13.2
El Salvador 2013 Developing 73.0 184 2 2.42 6.536925e+02 92 0 54.7 2 92 6.95 92 0.2 3.895664e+03 6.257770e+05 1.6 1.6 0.675 13.2
El Salvador 2012 Developing 73.0 181 2 2.48 5.917758e+02 92 0 54.1 2 93 6.70 92 0.3 3.827786e+03 6.221246e+06 1.6 1.6 0.670 13.2
El Salvador 2011 Developing 72.0 197 2 2.37 5.492783e+02 89 0 53.4 2 9 6.81 89 0.3 3.736587e+03 6.192560e+05 1.7 1.6 0.666 13.0
El Salvador 2010 Developing 72.0 191 2 2.36 4.693904e+02 89 0 52.8 2 89 6.91 89 0.3 3.474392e+03 6.164626e+06 1.7 1.6 0.662 12.9
El Salvador 2009 Developing 71.4 23 2 2.55 4.164338e+02 91 0 52.1 2 91 6.83 91 0.3 3.366482e+03 6.137276e+06 1.7 1.6 0.662 12.8
El Salvador 2008 Developing 71.7 194 2 2.68 5.395950e+01 98 0 51.4 3 98 6.21 98 0.3 3.573477e+02 6.113100e+04 1.8 1.7 0.659 13.4
El Salvador 2007 Developing 71.2 23 2 2.83 5.230172e+01 99 0 5.8 3 99 6.32 99 0.3 3.348382e+02 6.834750e+05 1.8 1.7 0.657 12.9
El Salvador 2006 Developing 75.0 211 3 2.77 5.774563e+01 96 0 5.1 3 96 6.68 96 0.2 3.629518e+02 6.564780e+05 1.8 1.7 0.651 12.9
El Salvador 2005 Developing 71.0 213 3 2.77 4.406027e+02 89 0 49.4 3 89 7.19 89 0.2 2.835281e+03 6.289610e+05 1.9 1.8 0.644 12.7
El Salvador 2004 Developing 70.0 215 3 2.90 3.986058e+02 9 0 48.6 3 9 7.30 9 0.3 2.632799e+03 6.775000e+03 1.9 1.8 0.636 12.4
El Salvador 2003 Developing 69.9 29 3 3.10 4.001343e+02 94 0 47.8 4 93 7.61 94 0.3 2.519737e+03 5.971535e+06 2.0 1.9 0.628 12.0
El Salvador 2002 Developing 73.0 24 3 2.97 2.968529e+01 81 0 47.0 4 81 7.90 81 0.4 2.484125e+02 5.943300e+04 2.0 1.9 0.621 11.8
El Salvador 2001 Developing 68.9 219 4 2.88 3.321057e+02 75 2 46.2 4 94 8.20 92 0.4 2.338772e+03 5.959620e+05 2.1 2.0 0.615 11.6
El Salvador 2000 Developing 69.0 218 4 2.79 3.536690e+02 99 0 45.3 5 98 8.17 99 0.4 2.238412e+03 5.867626e+06 2.1 2.0 0.607 11.3
Equatorial Guinea 2015 Developing 58.2 32 3 NA 0.000000e+00 16 1250 24.5 4 17 NA 16 4.2 1.347313e+03 1.175389e+06 8.4 8.3 0.582 9.2
Equatorial Guinea 2014 Developing 57.9 32 3 0.01 1.340477e+01 2 13 24.0 4 24 3.80 2 4.4 1.925973e+02 1.129424e+06 8.5 8.4 0.582 9.2
Equatorial Guinea 2013 Developing 57.4 327 3 10.72 1.563908e+02 NA 321 23.5 4 3 3.73 3 5.7 2.246994e+03 1.837460e+05 8.6 8.6 0.586 9.2
Equatorial Guinea 2012 Developing 56.7 337 3 11.89 1.500413e+03 NA 1190 23.0 4 3 4.00 24 8.2 2.155765e+04 1.385930e+05 8.7 8.7 0.583 9.2
Equatorial Guinea 2011 Developing 56.2 344 3 10.99 1.493051e+03 NA 0 22.6 4 39 3.29 41 7.7 2.145189e+04 9.942900e+04 8.9 8.8 0.580 9.2
Equatorial Guinea 2010 Developing 56.1 339 3 9.93 1.192697e+03 NA 0 22.1 4 59 3.84 44 7.2 1.713645e+04 9.511400e+04 9.0 9.0 0.589 9.2
Equatorial Guinea 2009 Developing 55.7 34 3 7.97 1.150692e+02 NA 78 21.7 4 57 5.32 43 7.3 1.653294e+03 9.911100e+04 9.2 9.2 0.590 9.1
Equatorial Guinea 2008 Developing 55.4 338 3 8.34 1.705679e+03 NA 436 21.3 4 55 2.31 42 6.3 2.274238e+04 8.684180e+05 9.3 9.3 0.592 9.1
Equatorial Guinea 2007 Developing 55.0 339 3 6.86 1.024520e+03 NA 5 2.9 4 54 2.25 41 5.9 1.576184e+04 8.293270e+05 9.5 9.5 0.587 9.0
Equatorial Guinea 2006 Developing 54.8 337 3 7.28 8.275979e+02 NA 0 2.5 4 52 2.13 4 5.3 1.273228e+04 7.922170e+05 9.7 9.6 0.569 9.0
Equatorial Guinea 2005 Developing 54.4 337 3 7.19 1.206617e+01 NA 0 2.2 4 5 1.63 39 4.9 1.856333e+02 7.573170e+05 9.8 9.8 0.563 8.7
Equatorial Guinea 2004 Developing 54.1 336 3 6.28 4.454768e+01 NA 38 19.8 4 48 2.40 38 4.4 6.853490e+02 7.248170e+05 1.0 1.0 0.553 8.5
Equatorial Guinea 2003 Developing 53.8 334 3 7.13 3.097835e+02 NA 18 19.5 4 46 2.23 37 3.6 3.577176e+03 6.946110e+05 1.2 1.1 0.554 8.4
Equatorial Guinea 2002 Developing 53.5 334 3 6.01 2.347874e+02 NA 24 19.1 4 44 2.50 36 2.9 2.711171e+03 6.664700e+04 1.4 1.3 0.542 8.2
Equatorial Guinea 2001 Developing 53.1 334 3 5.07 1.977840e+02 NA 1339 18.7 4 43 1.78 35 2.3 2.283879e+03 6.397620e+05 1.6 1.4 0.527 8.0
Equatorial Guinea 2000 Developing 52.7 336 3 4.46 1.495451e+01 NA 0 18.3 4 41 2.73 34 1.9 1.726849e+02 6.143230e+05 1.7 1.6 0.000 0.0
Eritrea 2015 Developing 64.7 255 5 NA 0.000000e+00 95 198 18.6 7 95 NA 95 0.4 NA NA 8.4 8.2 0.418 5.0
Eritrea 2014 Developing 64.4 261 5 0.01 0.000000e+00 94 127 18.0 8 94 3.34 94 0.4 NA NA 8.5 8.3 0.416 5.0
Eritrea 2013 Developing 64.0 266 6 0.01 0.000000e+00 94 45 17.5 8 94 3.10 94 0.5 NA NA 8.6 8.4 0.414 5.0
Eritrea 2012 Developing 63.6 274 6 0.01 0.000000e+00 94 194 17.0 8 94 2.98 94 0.6 NA NA 8.7 8.6 0.410 5.0
Eritrea 2011 Developing 62.9 286 6 0.62 2.097992e+01 96 48 16.5 8 96 3.60 96 0.7 5.827755e+02 4.474690e+05 8.8 8.7 0.405 5.0
Eritrea 2010 Developing 62.1 298 6 0.61 1.735740e+01 9 51 16.0 9 9 3.24 9 0.9 4.821499e+02 4.398400e+04 8.9 8.8 0.404 5.1
Eritrea 2009 Developing 61.4 311 6 0.63 1.575160e+00 92 82 15.5 9 92 3.30 92 1.0 4.375445e+01 4.313340e+05 9.0 8.9 0.402 5.2
Eritrea 2008 Developing 67.0 322 6 0.49 1.176572e+01 94 0 15.1 9 94 3.69 94 1.1 3.268256e+02 4.232636e+06 9.1 9.1 0.406 5.2
Eritrea 2007 Developing 62.0 329 6 1.23 1.142386e+01 91 55 14.7 9 91 3.29 91 1.3 3.173294e+02 4.153332e+06 9.2 9.2 0.405 5.3
Eritrea 2006 Developing 59.7 336 7 0.97 1.060270e+01 94 128 14.3 9 94 3.30 94 1.4 2.978286e+02 4.666480e+05 9.3 9.3 0.405 5.3
Eritrea 2005 Developing 59.4 34 7 1.07 5.064689e+00 96 19 13.9 9 96 2.97 96 1.6 2.767590e+02 3.969700e+04 9.4 9.5 0.000 5.4
Eritrea 2004 Developing 59.1 342 7 0.64 1.026097e+01 84 24 13.6 10 98 3.14 98 1.8 2.874222e+02 3.858623e+06 9.6 9.6 0.000 5.0
Eritrea 2003 Developing 58.8 343 7 0.56 6.913998e+00 91 376 13.3 10 95 3.50 93 1.9 2.327945e+02 3.738265e+06 9.7 9.7 0.000 4.7
Eritrea 2002 Developing 58.5 343 7 0.83 7.031322e-01 86 460 13.1 10 92 4.20 9 1.9 2.176880e+01 3.614639e+06 9.9 9.9 0.000 4.4
Eritrea 2001 Developing 58.1 345 7 0.61 5.593619e+00 NA 204 12.8 10 89 3.95 86 2.0 2.151392e+02 3.497124e+06 1.0 1.0 0.000 4.3
Eritrea 2000 Developing 45.3 593 7 0.83 7.359404e-01 NA 789 12.6 10 82 4.43 81 1.9 2.819695e+01 3.392810e+05 1.2 1.1 0.000 3.9
Estonia 2015 Developing 77.6 119 0 NA 0.000000e+00 91 4 59.9 0 93 NA 93 0.1 1.774929e+03 1.315470e+05 1.9 1.9 0.863 16.5
Estonia 2014 Developing 77.3 122 0 0.01 2.700073e+03 93 0 59.4 0 93 6.38 93 0.1 1.994146e+04 1.314545e+06 1.9 1.9 0.860 16.5
Estonia 2013 Developing 76.9 127 0 0.01 2.612915e+02 93 2 59.0 0 94 6.48 94 0.1 1.929775e+03 1.317997e+06 1.9 1.9 0.856 16.5
Estonia 2012 Developing 76.3 135 0 0.01 2.263104e+03 94 4 58.5 0 94 6.36 94 0.1 1.742189e+04 1.322696e+06 1.9 1.9 0.850 16.5
Estonia 2011 Developing 76.1 138 0 0.01 2.146946e+03 94 7 58.0 0 93 5.83 93 0.1 1.745484e+04 1.327439e+06 1.9 2.0 0.838 16.4
Estonia 2010 Developing 75.6 137 0 14.97 1.802018e+03 94 0 57.6 0 94 6.25 94 0.1 1.463865e+04 1.331475e+06 1.9 2.0 0.833 16.2
Estonia 2009 Developing 74.9 156 0 15.04 1.717089e+03 95 0 57.1 0 95 6.93 95 0.1 1.472632e+04 1.334515e+06 2.0 2.0 0.836 16.1
Estonia 2008 Developing 74.2 167 0 16.99 2.250724e+02 94 0 56.7 0 95 6.60 95 0.1 1.894549e+03 1.337900e+04 2.0 2.1 0.835 16.1
Estonia 2007 Developing 73.0 189 0 17.87 1.904125e+03 95 1 56.3 0 95 5.16 95 0.1 1.658645e+04 1.346800e+04 2.0 2.1 0.829 16.1
Estonia 2006 Developing 73.0 188 0 16.58 2.443511e+02 95 27 55.9 0 95 5.10 95 0.1 1.259542e+04 1.346810e+05 2.1 2.2 0.822 16.1
Estonia 2005 Developing 72.8 189 0 15.52 1.535045e+02 95 2 55.5 0 96 5.20 96 0.1 1.338313e+03 1.354775e+06 2.1 2.2 0.812 15.9
Estonia 2004 Developing 72.3 195 0 15.07 1.011201e+02 9 0 55.2 0 95 5.13 94 0.1 8.854651e+02 1.362550e+05 2.2 2.3 0.805 15.7
Estonia 2003 Developing 71.9 199 0 11.64 1.327234e+02 NA 0 54.9 0 95 4.92 94 0.1 7.174237e+03 1.377200e+04 2.2 2.3 0.798 15.6
Estonia 2002 Developing 71.2 211 0 11.48 7.806043e+00 NA 0 54.6 0 94 4.84 94 0.1 5.383478e+02 1.379350e+05 2.3 2.4 0.791 15.4
Estonia 2001 Developing 78.0 225 0 0.01 8.862946e+01 NA 0 54.3 0 94 4.85 94 0.1 4.498957e+03 1.388115e+06 2.4 2.5 0.781 15.0
Estonia 2000 Developing 78.0 218 0 0.01 5.348095e+00 NA 9 54.0 0 93 5.28 93 0.1 4.732827e+01 1.396985e+06 2.5 2.5 0.764 14.4
Ethiopia 2015 Developing 64.8 225 136 NA 0.000000e+00 77 17745 17.6 194 75 NA 77 0.6 6.454638e+02 9.987333e+06 1.4 1.2 0.441 8.4
Ethiopia 2014 Developing 64.2 234 140 0.01 8.995806e+01 77 12739 17.2 202 75 4.88 77 0.6 5.711623e+02 9.736677e+07 1.5 1.3 0.435 8.4
Ethiopia 2013 Developing 63.7 237 145 1.86 8.313282e+00 72 5253 16.8 211 7 5.19 72 0.9 5.215359e+01 9.488772e+07 1.6 1.4 0.427 8.4
Ethiopia 2012 Developing 63.3 241 150 1.84 8.682551e+01 69 4347 16.4 221 7 5.77 69 1.2 4.685672e+02 9.244418e+07 1.7 1.5 0.422 8.4
Ethiopia 2011 Developing 62.6 249 156 1.32 6.777565e+01 65 3255 16.0 231 7 6.55 65 1.4 3.548464e+02 9.467560e+05 1.9 1.6 0.411 8.2
Ethiopia 2010 Developing 61.8 261 162 1.34 6.773374e+01 62 4235 15.6 243 69 6.86 61 1.7 3.413999e+02 8.772670e+05 11.0 1.7 0.401 8.1
Ethiopia 2009 Developing 68.0 274 169 1.17 5.377354e+01 56 1176 15.3 256 65 4.41 58 2.0 3.797566e+02 8.541625e+07 11.1 1.8 0.393 8.1
Ethiopia 2008 Developing 59.8 289 177 1.13 3.855783e+01 52 3511 14.9 270 63 4.28 54 2.4 3.253826e+02 8.318489e+07 11.2 1.9 0.378 7.6
Ethiopia 2007 Developing 58.5 39 186 1.06 3.046452e+01 47 1446 14.5 286 61 4.69 5 2.8 2.433268e+02 8.149000e+03 11.3 11.0 0.362 7.1
Ethiopia 2006 Developing 57.2 328 196 1.22 2.218952e+01 NA 1451 14.2 304 59 4.47 46 3.3 1.937950e+02 7.885689e+06 11.4 11.1 0.346 6.6
Ethiopia 2005 Developing 56.0 343 206 0.99 1.803753e+01 NA 357 13.8 323 56 4.20 44 3.7 1.616266e+02 7.672783e+06 11.5 11.2 0.325 5.8
Ethiopia 2004 Developing 55.0 354 217 0.86 1.506962e+00 NA 73 13.5 342 54 4.23 4 4.1 1.357624e+02 7.462445e+06 11.5 11.3 0.310 5.4
Ethiopia 2003 Developing 54.0 363 228 0.79 1.097202e+01 NA 228 13.2 360 55 4.64 37 4.4 1.188734e+02 7.254514e+07 11.6 11.5 0.306 5.2
Ethiopia 2002 Developing 53.2 369 237 0.80 1.082453e+01 NA 3332 12.9 377 55 4.73 35 4.6 1.113634e+02 7.497192e+06 11.7 11.6 0.298 4.9
Ethiopia 2001 Developing 52.5 372 246 0.85 1.186228e+00 NA 2366 12.6 392 55 4.26 32 4.9 1.217893e+01 6.849226e+07 11.8 11.7 0.283 4.3
Ethiopia 2000 Developing 51.2 391 253 0.88 1.159482e+01 NA 1660 12.3 404 55 4.36 3 5.0 1.238763e+02 6.653733e+07 11.9 11.8 0.000 3.9
Fiji 2015 Developing 69.9 188 0 NA 0.000000e+00 99 0 62.7 0 99 NA 99 0.1 4.921896e+03 8.921490e+05 4.0 3.7 0.734 15.3
Fiji 2014 Developing 69.7 19 0 0.01 5.053948e+01 99 0 61.9 0 99 4.49 99 0.1 5.463728e+02 8.858600e+04 4.0 3.7 0.727 15.2
Fiji 2013 Developing 69.6 192 0 0.01 4.606488e+02 99 0 61.1 0 99 4.26 99 0.1 4.763690e+03 8.797150e+05 4.0 3.7 0.719 15.0
Fiji 2012 Developing 69.4 195 0 0.01 4.314855e+02 99 0 6.2 0 99 4.16 99 0.1 4.546739e+03 8.735960e+05 4.0 3.7 0.714 14.9
Fiji 2011 Developing 69.2 197 0 0.01 4.017931e+02 99 0 59.5 0 99 4.60 99 0.1 4.353121e+03 8.678600e+04 4.0 3.7 0.709 14.7
Fiji 2010 Developing 69.1 2 0 2.25 6.208344e+01 99 0 58.7 0 99 4.23 99 0.1 3.651967e+03 8.599500e+04 4.0 3.7 0.706 14.6
Fiji 2009 Developing 68.9 23 0 2.31 6.065068e+01 99 1 58.0 0 99 4.26 99 0.1 3.369482e+03 8.519670e+05 4.0 3.7 0.704 14.5
Fiji 2008 Developing 68.7 26 0 1.95 8.104656e+01 99 0 57.3 0 99 3.68 99 0.1 4.177658e+03 8.433400e+04 4.0 3.7 0.700 14.3
Fiji 2007 Developing 68.6 29 0 2.09 5.889526e+00 99 0 56.6 0 99 3.74 99 0.1 4.788233e+02 8.348120e+05 4.1 3.8 0.698 14.2
Fiji 2006 Developing 68.5 211 0 2.06 5.212416e+01 99 136 55.9 0 98 3.84 98 0.1 3.749940e+03 8.274110e+05 4.1 3.8 0.695 14.0
Fiji 2005 Developing 68.3 214 0 2.02 6.439203e+01 99 0 55.1 0 97 3.61 96 0.1 3.658638e+03 8.218170e+05 4.1 3.8 0.699 13.9
Fiji 2004 Developing 68.1 218 0 1.63 4.399452e+01 99 37 54.2 0 96 3.61 95 0.1 3.332919e+03 8.183540e+05 4.2 3.9 0.691 13.4
Fiji 2003 Developing 68.0 22 0 1.76 2.538197e+02 99 305 53.2 0 95 3.35 94 0.1 2.835974e+03 8.166280e+05 4.2 3.9 0.689 13.3
Fiji 2002 Developing 67.9 22 0 1.85 2.060717e+02 99 304 52.2 0 94 3.48 93 0.1 2.259558e+03 8.156910e+05 4.2 3.9 0.687 13.3
Fiji 2001 Developing 67.8 221 0 1.93 2.071191e+01 98 17 51.2 0 92 3.28 91 0.1 2.388917e+02 8.142180e+05 4.3 4.0 0.683 13.2
Fiji 2000 Developing 67.7 221 0 2.05 3.125835e+01 98 0 5.2 0 91 3.87 9 0.1 2.761338e+02 8.112230e+05 4.3 4.0 0.681 13.1
Finland 2015 Developing 81.1 76 0 NA 0.000000e+00 NA 2 62.1 0 97 NA 97 0.1 4.245397e+03 5.479531e+06 0.9 0.8 0.893 17.0
Finland 2014 Developing 89.0 78 0 8.80 6.164455e+03 NA 0 61.7 0 98 9.68 98 0.1 4.991462e+04 5.461512e+06 0.9 0.8 0.890 17.0
Finland 2013 Developing 87.0 79 0 8.97 6.115497e+03 NA 2 61.4 0 98 9.55 98 0.1 4.963877e+04 5.438972e+06 0.9 0.8 0.887 17.0
Finland 2012 Developing 84.0 82 0 9.24 5.889013e+03 NA 0 61.0 0 99 9.30 99 0.1 4.741556e+04 5.413971e+06 0.9 0.8 0.884 17.0
Finland 2011 Developing 83.0 86 0 9.81 7.101621e+01 NA 27 6.6 0 99 9.10 99 0.1 5.797242e+02 5.388272e+06 0.9 0.8 0.878 16.9
Finland 2010 Developing 79.9 89 0 9.72 5.916691e+02 NA 5 6.2 0 99 9.50 99 0.1 4.622415e+03 5.363352e+06 0.9 0.8 0.874 16.8
Finland 2009 Developing 79.7 91 0 9.96 5.797384e+02 NA 2 59.8 0 99 9.20 99 0.1 4.717156e+03 5.338871e+06 0.9 0.8 0.878 17.0
Finland 2008 Developing 79.6 94 0 10.26 6.788811e+02 NA 5 59.4 0 97 8.35 99 0.1 5.341315e+03 5.313399e+06 0.9 0.8 0.876 17.1
Finland 2007 Developing 79.3 96 0 10.45 6.147132e+03 NA 0 59.0 0 97 8.90 99 0.1 4.828855e+04 5.288720e+05 0.9 0.8 0.873 17.2
Finland 2006 Developing 79.2 96 0 10.15 5.247775e+02 NA 0 58.6 0 97 8.38 97 0.1 4.112677e+03 5.266268e+06 0.9 0.8 0.869 17.2
Finland 2005 Developing 78.9 11 0 9.95 4.816590e+03 NA 1 58.1 0 97 8.43 97 0.1 3.896917e+04 5.246960e+05 0.9 0.8 0.864 17.1
Finland 2004 Developing 78.7 12 0 9.89 4.508806e+03 NA 0 57.6 0 96 8.21 98 0.1 3.763611e+04 5.228172e+06 0.9 0.8 0.869 18.3
Finland 2003 Developing 78.4 98 0 9.31 3.869026e+03 NA 0 57.1 0 96 8.15 98 0.1 3.281617e+04 5.213140e+05 0.9 0.8 0.866 18.1
Finland 2002 Developing 78.1 98 0 9.25 3.099357e+03 NA 0 56.6 0 95 7.81 98 0.1 2.683426e+04 5.259800e+04 0.9 0.8 0.863 18.0
Finland 2001 Developing 78.0 1 0 8.94 2.775335e+03 NA 1 56.1 0 95 7.43 98 0.1 2.491324e+04 5.188800e+04 0.9 0.8 0.856 17.7
Finland 2000 Developing 77.5 15 0 8.59 3.977534e+02 NA 0 55.5 0 96 7.22 99 0.1 2.425325e+04 5.176290e+05 0.9 0.9 0.847 17.3
France 2015 Developing 82.4 78 2 NA 0.000000e+00 86 157 62.5 3 98 NA 98 0.1 3.652677e+04 6.662468e+06 0.7 0.6 0.894 16.3
France 2014 Developing 82.2 79 3 11.50 6.739678e+03 83 267 62.0 3 98 11.54 98 0.1 4.295524e+04 6.633196e+07 0.6 0.6 0.890 16.2
France 2013 Developing 82.0 81 3 11.10 6.646954e+03 74 272 61.6 3 99 11.56 99 0.1 4.255412e+04 6.599857e+06 0.6 0.6 0.887 16.2
France 2012 Developing 81.5 83 3 11.50 7.513794e+02 78 0 61.1 3 99 11.44 99 0.1 4.838244e+03 6.565979e+06 0.6 0.6 0.885 16.1
France 2011 Developing 81.7 83 3 11.80 6.839191e+02 74 14949 6.6 3 99 11.33 99 0.1 4.381288e+03 6.534278e+07 0.6 0.6 0.882 16.1
France 2010 Developing 81.3 86 3 11.70 7.280012e+01 65 5048 6.1 3 99 11.20 99 0.1 4.733428e+02 6.527512e+06 0.6 0.6 0.879 16.0
France 2009 Developing 81.1 88 3 11.80 6.415357e+03 51 1541 59.6 3 98 11.28 98 0.1 4.163113e+04 6.477440e+05 0.6 0.6 0.879 16.0
France 2008 Developing 89.0 88 3 11.90 7.002786e+03 47 604 59.1 3 98 1.57 98 0.1 4.541366e+04 6.437499e+06 0.6 0.6 0.877 16.1
France 2007 Developing 89.0 89 3 12.20 6.473715e+01 42 39 58.6 3 99 1.45 98 0.1 4.165840e+02 6.416229e+06 0.6 0.6 0.873 16.1
France 2006 Developing 86.0 92 3 12.40 5.689992e+03 39 40 58.0 4 99 1.53 99 0.1 3.654459e+04 6.362138e+07 0.6 0.6 0.870 16.1
France 2005 Developing 81.0 93 3 12.20 5.451701e+03 35 36 57.5 4 98 1.60 98 0.1 3.487973e+04 6.317936e+07 0.6 0.6 0.860 15.5
France 2004 Developing 82.0 94 3 13.18 5.291235e+03 35 4448 57.0 4 99 1.53 98 0.1 3.387474e+04 6.274897e+06 0.6 0.6 0.857 15.5
France 2003 Developing 79.3 99 3 13.49 4.572442e+03 28 0 56.4 4 96 1.43 97 0.1 2.969118e+04 6.224488e+07 0.6 0.6 0.852 15.4
France 2002 Developing 79.2 11 3 13.78 3.779655e+03 29 5185 55.8 4 97 1.22 97 0.1 2.427524e+04 6.185267e+06 0.7 0.6 0.851 15.5
France 2001 Developing 79.0 13 3 13.89 3.451185e+03 28 0 55.2 4 98 9.89 97 0.1 2.252732e+04 6.135743e+07 0.7 0.6 0.849 15.6
France 2000 Developing 78.8 13 3 13.63 3.410284e+03 26 10000 54.6 4 98 9.77 97 0.1 2.246564e+04 6.912498e+06 0.7 0.6 0.844 15.7
Gabon 2015 Developing 66.0 229 2 NA 0.000000e+00 8 27 36.3 3 79 NA 8 2.7 7.388984e+03 1.931750e+05 6.1 5.9 0.694 12.6
Gabon 2014 Developing 65.5 237 2 0.01 7.152817e+02 7 33 35.8 3 68 3.44 7 2.8 9.692164e+03 1.875713e+06 6.1 6.0 0.687 12.6
Gabon 2013 Developing 64.6 255 2 8.86 1.548759e+02 79 122 35.2 3 77 3.98 79 3.7 9.679743e+03 1.817271e+06 6.2 6.1 0.678 12.5
Gabon 2012 Developing 63.5 276 2 8.30 8.053925e+02 82 2 34.6 3 8 3.13 82 4.9 9.774181e+03 1.756817e+06 6.3 6.2 0.669 12.5
Gabon 2011 Developing 62.8 289 2 8.90 1.335224e+02 75 2 34.1 3 75 3.12 75 6.0 1.716226e+03 1.697110e+05 6.4 6.3 0.664 12.5
Gabon 2010 Developing 62.3 294 2 8.85 1.453183e+02 67 1 33.5 3 68 3.41 67 7.0 8.754113e+03 1.642100e+04 6.5 6.4 0.660 12.5
Gabon 2009 Developing 61.7 31 2 8.64 5.231086e+01 79 0 33.0 3 74 3.43 76 8.0 7.636622e+02 1.586754e+06 6.7 6.5 0.652 12.4
Gabon 2008 Developing 61.6 298 2 8.75 1.105422e+01 82 3 32.4 3 81 2.54 82 8.9 1.942746e+02 1.536411e+06 6.8 6.6 0.651 12.4
Gabon 2007 Developing 61.6 291 2 9.02 5.454390e+02 75 0 31.9 3 78 2.86 81 10.0 8.352817e+03 1.489193e+06 6.9 6.8 0.645 12.4
Gabon 2006 Developing 61.4 288 2 8.01 4.053720e+01 52 90 31.4 3 44 2.88 45 10.7 7.277773e+02 1.444844e+06 7.1 6.9 0.646 12.4
Gabon 2005 Developing 65.0 37 2 7.72 3.532438e+02 28 0 3.8 3 44 2.76 45 10.9 6.741294e+03 1.431260e+05 7.2 7.1 0.640 12.4
Gabon 2004 Developing 59.7 322 2 8.13 4.434751e+02 NA 63 3.3 3 44 3.26 45 11.1 5.685578e+03 1.364250e+05 7.4 7.2 0.640 12.3
Gabon 2003 Developing 59.7 32 2 6.47 3.522324e+02 NA 0 29.8 3 44 3.48 45 11.0 4.892116e+03 1.328146e+06 7.5 7.4 0.638 12.3
Gabon 2002 Developing 59.7 315 2 8.34 2.269040e+01 NA 110 29.2 3 44 3.22 45 10.7 4.125527e+02 1.294490e+05 7.7 7.5 0.636 12.3
Gabon 2001 Developing 59.8 37 2 9.29 1.836981e+02 NA 5129 28.7 3 44 3.23 45 10.1 3.976149e+03 1.262259e+06 7.8 7.7 0.633 12.3
Gabon 2000 Developing 61.0 296 2 8.87 2.181727e+02 NA 15 28.1 3 44 2.89 45 9.5 4.116467e+03 1.231122e+06 8.0 7.8 0.637 12.2
Gambia 2015 Developing 61.1 262 3 NA 0.000000e+00 97 71 27.3 5 96 NA 97 1.7 NA NA 7.3 7.2 0.450 8.9
Gambia 2014 Developing 68.0 266 3 0.01 0.000000e+00 96 1 26.7 5 97 7.34 96 1.7 NA NA 7.5 7.3 0.449 8.9
Gambia 2013 Developing 66.0 266 3 0.01 0.000000e+00 97 0 26.0 5 96 6.49 97 1.6 NA NA 7.6 7.5 0.445 8.9
Gambia 2012 Developing 62.0 269 3 0.01 0.000000e+00 98 0 25.4 5 98 6.12 98 1.4 NA NA 7.8 7.7 0.440 8.8
Gambia 2011 Developing 59.8 277 3 3.41 0.000000e+00 96 0 24.8 5 95 6.24 96 1.8 NA NA 8.0 7.9 0.441 8.7
Gambia 2010 Developing 59.3 284 3 3.48 0.000000e+00 97 2 24.1 6 97 5.75 97 2.1 NA NA 8.2 8.1 0.439 8.8
Gambia 2009 Developing 59.0 286 3 2.99 0.000000e+00 97 0 23.5 6 97 5.85 98 2.7 NA NA 8.4 8.3 0.434 8.9
Gambia 2008 Developing 58.7 287 3 2.79 0.000000e+00 98 0 22.8 6 96 5.95 96 3.0 NA NA 8.6 8.5 0.426 8.6
Gambia 2007 Developing 58.5 288 3 2.64 0.000000e+00 97 0 22.2 6 94 5.76 95 3.1 NA NA 8.8 8.7 0.420 8.4
Gambia 2006 Developing 58.2 288 3 2.93 0.000000e+00 95 0 21.5 6 94 5.52 95 3.0 NA NA 9.0 8.9 0.415 8.1
Gambia 2005 Developing 57.7 294 3 2.26 0.000000e+00 95 0 2.9 6 94 4.97 95 3.0 NA NA 9.2 9.1 0.412 7.8
Gambia 2004 Developing 57.3 296 3 2.51 0.000000e+00 95 0 2.3 6 88 4.35 87 2.9 NA NA 9.4 9.3 0.404 7.6
Gambia 2003 Developing 57.0 297 3 2.47 0.000000e+00 94 119 19.7 6 87 4.22 87 2.7 NA NA 9.6 9.6 0.395 7.3
Gambia 2002 Developing 56.6 298 3 2.08 0.000000e+00 92 32 19.1 6 86 3.75 87 2.5 NA NA 9.8 9.8 0.392 7.0
Gambia 2001 Developing 56.3 3 3 2.25 0.000000e+00 91 99 18.5 6 85 3.71 87 2.3 NA NA 1.0 1.0 0.384 6.8
Gambia 2000 Developing 55.9 33 3 2.18 0.000000e+00 91 336 18.0 6 84 3.61 8 2.0 NA NA 1.2 1.2 0.377 6.5
Georgia 2015 Developing 74.4 129 1 NA 0.000000e+00 94 431 56.2 1 91 NA 94 0.1 3.764649e+03 3.717100e+04 2.7 2.8 0.768 13.9
Georgia 2014 Developing 74.5 125 1 6.13 2.214829e+02 91 3188 55.3 1 91 7.42 91 0.1 4.429658e+03 3.727000e+03 2.7 2.8 0.759 13.5
Georgia 2013 Developing 74.5 128 1 5.91 1.803787e+02 96 7872 54.4 1 94 7.25 93 0.1 4.274377e+03 3.776000e+03 2.7 2.8 0.755 13.5
Georgia 2012 Developing 74.2 13 1 7.71 1.582576e+02 92 31 53.6 1 93 8.57 92 0.1 4.142869e+03 3.825000e+03 2.6 2.8 0.749 13.4
Georgia 2011 Developing 73.9 127 1 8.14 1.989488e+02 89 64 52.8 1 88 9.38 94 0.1 3.725632e+03 3.875000e+03 2.6 2.8 0.742 13.3
Georgia 2010 Developing 73.8 132 1 7.24 1.941733e+02 95 22 52.0 1 88 1.50 92 0.1 2.964477e+03 3.926000e+03 2.6 2.8 0.738 13.3
Georgia 2009 Developing 73.2 133 1 6.66 1.853143e+01 54 23 51.3 1 93 1.19 88 0.1 2.765885e+02 3.978000e+03 2.6 2.8 0.734 12.8
Georgia 2008 Developing 73.9 128 1 7.17 1.517626e+02 89 56 5.5 1 9 8.99 92 0.1 3.174949e+03 4.300000e+01 2.6 2.8 0.735 13.1
Georgia 2007 Developing 74.4 12 1 8.65 1.061647e+02 94 44 49.9 1 88 8.17 98 0.1 2.492129e+03 4.820000e+02 2.7 2.9 0.722 12.5
Georgia 2006 Developing 73.9 126 1 6.18 1.101138e+02 84 334 49.2 1 89 8.39 88 0.1 1.872684e+03 4.136000e+03 2.7 2.9 0.714 12.6
Georgia 2005 Developing 73.9 128 1 4.70 9.444875e+00 79 1356 48.6 1 82 8.60 82 0.1 1.535752e+02 4.190000e+02 2.8 2.9 0.703 12.2
Georgia 2004 Developing 72.3 134 1 3.74 7.132565e+00 64 6847 48.1 1 66 8.53 78 0.1 1.273672e+02 4.245000e+03 2.8 3.0 0.694 12.0
Georgia 2003 Developing 72.7 132 1 3.36 7.054185e+01 48 216 47.5 2 74 8.49 75 0.1 9.281823e+02 4.310000e+02 2.9 3.0 0.684 11.8
Georgia 2002 Developing 71.7 142 2 2.72 6.055818e+01 51 199 47.0 2 89 8.72 84 0.1 7.793846e+02 4.357000e+03 2.9 3.0 0.677 11.8
Georgia 2001 Developing 73.0 121 2 2.76 5.710319e+01 61 35 46.5 2 83 7.82 87 0.1 7.339741e+02 4.386400e+04 3.0 3.1 0.673 11.7
Georgia 2000 Developing 71.8 129 2 3.28 4.781704e+01 55 50 46.0 2 81 6.94 8 0.1 6.919977e+02 4.418300e+04 3.1 3.1 0.000 11.4
Germany 2015 Developed 81.0 68 2 NA 0.000000e+00 88 2464 62.3 3 94 NA 95 0.1 4.117688e+04 8.168661e+07 1.1 1.1 0.924 17.1
Germany 2014 Developed 89.0 69 2 11.03 9.417563e+02 88 443 61.9 3 94 11.30 95 0.1 4.792653e+03 8.982500e+04 1.1 1.1 0.920 17.0
Germany 2013 Developed 86.0 71 2 10.94 8.958780e+02 88 1771 61.4 3 94 11.16 95 0.1 4.653911e+03 8.645650e+05 1.1 1.1 0.919 16.9
Germany 2012 Developed 86.0 71 2 11.18 8.399133e+02 88 166 6.9 3 94 1.99 95 0.1 4.465249e+03 8.425823e+06 1.1 1.1 0.916 16.9
Germany 2011 Developed 85.0 74 2 11.20 8.697907e+02 88 1607 6.4 3 94 1.93 95 0.1 4.681328e+03 8.274983e+06 1.1 1.1 0.912 16.8
Germany 2010 Developed 81.0 76 2 11.20 7.584079e+03 88 780 59.9 3 94 11.25 95 0.1 4.178556e+04 8.177693e+06 1.1 1.1 0.907 16.7
Germany 2009 Developed 80.0 79 2 11.22 7.641271e+03 88 574 59.5 3 95 11.40 96 0.1 4.173277e+04 8.192370e+05 1.1 1.1 0.906 16.7
Germany 2008 Developed 79.9 8 2 11.36 8.285265e+03 87 917 59.0 3 95 1.39 96 0.1 4.569920e+04 8.211970e+05 1.1 1.1 0.903 16.6
Germany 2007 Developed 79.8 82 3 11.50 7.777556e+03 86 567 58.5 3 95 1.18 96 0.1 4.181482e+04 8.226637e+07 1.1 1.1 0.898 16.6
Germany 2006 Developed 79.6 84 3 11.76 6.407536e+03 87 2307 58.0 3 94 1.34 96 0.1 3.644787e+04 8.237645e+07 1.1 1.1 0.892 16.5
Germany 2005 Developed 79.2 85 3 11.67 6.012926e+03 9 778 57.6 3 95 1.52 96 0.1 3.469663e+04 8.246942e+07 1.1 1.1 0.884 16.4
Germany 2004 Developed 79.1 86 3 11.83 5.842375e+03 88 121 57.1 3 96 1.37 96 0.1 3.416593e+04 8.251626e+06 1.1 1.1 0.877 16.4
Germany 2003 Developed 78.5 9 3 11.92 5.826157e+02 9 779 56.6 4 96 1.62 97 0.1 3.359952e+03 8.253418e+07 1.1 1.1 0.872 16.3
Germany 2002 Developed 78.4 91 3 12.25 4.371060e+02 87 4657 56.1 4 97 1.40 93 0.1 2.525164e+03 8.248850e+07 1.2 1.1 0.867 16.3
Germany 2001 Developed 78.3 92 3 12.46 4.057637e+03 86 6024 55.6 4 96 1.15 93 0.1 2.368732e+04 8.234993e+07 1.2 1.1 0.860 16.2
Germany 2000 Developed 78.0 95 3 12.91 4.238540e+03 84 0 55.1 4 94 1.10 9 0.1 2.371875e+04 8.221158e+06 1.2 1.2 0.855 16.2
Ghana 2015 Developing 62.4 249 37 NA 0.000000e+00 88 23 28.6 52 88 NA 88 0.7 1.361114e+03 2.758282e+07 6.2 6.1 0.575 11.4
Ghana 2014 Developing 62.1 253 37 0.01 9.767795e+01 98 124 28.0 54 93 3.56 98 0.8 1.432228e+03 2.696256e+07 6.4 6.3 0.576 11.7
Ghana 2013 Developing 61.9 254 38 0.01 2.866898e+01 9 319 27.3 55 91 4.63 9 0.9 1.814492e+03 2.634625e+07 6.6 6.4 0.570 11.5
Ghana 2012 Developing 61.6 257 39 0.01 1.518994e+02 92 1613 26.7 56 91 4.79 92 0.9 1.629822e+03 2.573349e+06 6.7 6.6 0.563 11.2
Ghana 2011 Developing 61.2 263 40 1.64 2.252219e+02 91 120 26.1 58 91 4.81 91 1.3 1.574979e+03 2.512180e+07 6.9 6.8 0.554 10.9
Ghana 2010 Developing 69.0 267 40 1.69 1.959825e+02 94 641 25.5 59 94 5.33 94 1.9 1.312676e+03 2.451214e+06 7.1 7.0 0.547 10.5
Ghana 2009 Developing 66.0 271 41 1.76 3.072291e+01 94 101 24.9 60 94 5.17 94 2.1 1.867654e+02 2.393831e+06 7.3 7.2 0.542 10.4
Ghana 2008 Developing 63.0 275 41 1.78 1.610106e+02 93 82 24.2 61 92 4.85 93 2.2 1.224416e+03 2.329864e+06 7.5 7.4 0.530 9.8
Ghana 2007 Developing 59.9 28 41 1.25 3.181374e+00 94 6 23.6 61 94 5.30 94 2.6 1.968672e+01 2.272120e+05 7.7 7.6 0.519 9.1
Ghana 2006 Developing 59.4 288 41 1.70 1.290263e+02 84 420 23.0 62 84 4.64 84 2.9 9.229352e+02 2.211343e+07 7.9 7.9 0.510 8.7
Ghana 2005 Developing 58.9 296 41 1.50 7.871124e+01 84 435 22.4 62 85 4.51 84 3.1 4.981724e+02 2.154290e+05 8.1 8.1 0.499 8.1
Ghana 2004 Developing 58.3 34 41 1.46 5.323776e+01 8 60 21.8 62 81 3.96 8 3.2 4.231936e+02 2.986536e+06 8.4 8.3 0.491 7.7
Ghana 2003 Developing 57.9 38 41 1.53 3.109435e+01 8 1939 21.2 63 8 3.12 8 3.4 3.732816e+02 2.446782e+06 8.6 8.5 0.489 7.9
Ghana 2002 Developing 57.6 31 42 1.60 3.336438e+00 8 12289 2.7 63 8 3.70 78 3.5 3.948447e+01 1.992452e+07 8.8 8.8 0.484 7.6
Ghana 2001 Developing 57.4 39 42 1.49 2.555981e+01 NA 13476 2.1 64 81 3.56 79 3.5 2.736597e+02 1.942165e+06 9.0 9.0 0.485 8.0
Ghana 2000 Developing 57.2 38 43 1.60 2.065433e+01 NA 23068 19.5 65 88 3.00 88 3.6 2.631125e+02 1.893876e+07 9.2 9.2 0.480 7.7
Greece 2015 Developing 81.0 72 0 NA 0.000000e+00 96 1 66.5 0 99 NA 99 0.1 1.877899e+02 1.828830e+05 0.8 0.7 0.865 17.2
Greece 2014 Developing 88.0 73 0 7.53 2.163043e+03 96 1 66.0 0 99 8.80 99 0.1 2.167378e+04 1.892413e+06 0.8 0.7 0.862 17.2
Greece 2013 Developing 86.0 74 0 7.46 2.183107e+03 98 3 65.4 0 99 9.26 99 0.1 2.187482e+04 1.965211e+06 0.8 0.7 0.860 17.1
Greece 2012 Developing 84.0 76 0 8.20 2.528993e+03 98 3 64.9 0 99 9.24 99 0.1 2.224268e+04 1.145110e+05 0.8 0.7 0.858 16.8
Greece 2011 Developing 85.0 76 0 8.02 3.192887e+03 95 40 64.3 0 99 9.77 99 0.1 2.591629e+04 1.114899e+06 0.8 0.7 0.860 16.7
Greece 2010 Developing 83.0 76 0 9.00 3.189754e+03 95 149 63.7 0 99 9.18 99 0.1 2.691776e+04 1.112134e+07 0.8 0.7 0.859 16.4
Greece 2009 Developing 80.0 78 0 9.08 3.726854e+02 95 2 63.1 0 99 9.76 99 0.1 2.971973e+03 1.117170e+05 0.8 0.7 0.857 16.2
Greece 2008 Developing 79.9 77 0 9.51 3.682887e+03 95 1 62.4 0 99 9.76 99 0.1 3.199728e+04 1.177841e+06 0.8 0.7 0.853 15.9
Greece 2007 Developing 79.4 8 0 9.67 3.632243e+03 95 2 61.8 0 99 9.41 99 0.1 2.882733e+04 1.148473e+06 0.8 0.7 0.855 16.4
Greece 2006 Developing 79.7 77 0 9.42 3.185807e+02 94 0 61.2 1 98 9.34 98 0.1 2.481158e+03 1.123620e+05 0.8 0.7 0.850 16.3
Greece 2005 Developing 79.3 81 0 9.95 2.785139e+03 93 122 6.5 1 96 9.36 96 0.1 2.255174e+04 1.987314e+06 0.8 0.7 0.839 15.6
Greece 2004 Developing 79.2 81 0 9.56 2.876125e+02 92 1 59.9 1 95 8.30 95 0.1 2.195515e+04 1.955141e+06 0.8 0.8 0.830 15.3
Greece 2003 Developing 79.1 81 0 9.46 2.124922e+03 92 0 59.2 1 93 8.61 94 0.1 1.847758e+04 1.928700e+04 0.8 0.8 0.823 15.2
Greece 2002 Developing 79.0 81 1 8.09 1.608897e+02 91 5 58.6 1 92 8.72 92 0.1 1.411313e+03 1.922200e+04 0.8 0.8 0.811 14.6
Greece 2001 Developing 78.7 83 1 8.62 1.403022e+03 9 12 58.0 1 9 8.47 91 0.1 1.253818e+04 1.862132e+06 0.9 0.8 0.801 14.2
Greece 2000 Developing 78.2 84 1 8.48 1.221824e+02 89 56 57.4 1 89 7.60 89 0.1 1.242954e+03 1.858800e+04 0.9 0.8 0.794 13.9
Grenada 2015 Developing 73.6 142 0 NA 0.000000e+00 92 0 48.4 0 99 NA 92 0.1 9.212193e+03 NA 3.8 3.8 0.751 15.8
Grenada 2014 Developing 73.5 143 0 8.42 7.892765e+02 97 0 47.4 0 81 6.10 97 0.1 8.569777e+03 NA 3.8 3.8 0.749 15.8
Grenada 2013 Developing 73.3 144 0 8.25 7.804459e+02 97 0 46.5 0 98 6.15 97 0.1 7.955616e+03 NA 3.8 3.8 0.746 15.8
Grenada 2012 Developing 73.1 146 0 8.07 8.660000e+02 97 0 45.6 0 98 6.36 97 0.1 7.583187e+03 NA 3.8 3.8 0.744 15.8
Grenada 2011 Developing 72.9 15 0 7.84 1.156716e+01 94 0 44.7 0 95 6.35 95 0.1 7.414844e+02 NA 3.8 3.8 0.741 15.8
Grenada 2010 Developing 72.6 154 0 7.91 1.458402e+02 97 0 43.9 0 94 6.41 97 0.1 7.365667e+03 NA 3.8 3.8 0.000 15.8
Grenada 2009 Developing 72.4 158 0 8.42 1.464384e+02 99 0 43.1 0 99 6.24 99 0.1 7.395881e+03 NA 3.8 3.8 0.000 15.6
Grenada 2008 Developing 72.1 162 0 8.92 7.549597e+02 99 0 42.4 0 99 5.76 99 0.1 7.946944e+03 NA 3.8 3.9 0.000 15.4
Grenada 2007 Developing 71.9 164 0 9.06 9.519376e+01 96 0 41.8 0 96 5.88 96 0.1 7.322597e+03 NA 3.9 3.9 0.000 15.3
Grenada 2006 Developing 71.7 167 0 9.06 6.622664e+02 91 0 41.1 0 91 5.99 91 0.1 6.764723e+03 NA 3.9 3.9 0.000 15.1
Grenada 2005 Developing 71.5 169 0 8.80 1.195549e+02 99 0 4.5 0 99 5.50 99 0.1 6.754512e+03 NA 3.9 4.0 0.000 14.9
Grenada 2004 Developing 73.0 187 0 8.43 1.009659e+02 83 0 39.9 0 84 5.24 83 0.1 5.836178e+03 NA 4.0 4.0 0.000 14.8
Grenada 2003 Developing 71.1 173 0 9.75 7.794543e+01 97 0 39.4 0 98 5.89 97 0.1 5.773736e+03 NA 4.0 4.1 0.000 14.6
Grenada 2002 Developing 79.0 176 0 10.71 5.133465e+02 98 0 38.8 0 98 6.67 98 0.1 5.292232e+03 NA 4.1 4.1 0.000 14.4
Grenada 2001 Developing 77.0 178 0 9.61 8.111356e+01 96 0 38.2 0 96 7.67 96 0.1 5.199587e+02 NA 4.2 4.2 0.000 14.3
Grenada 2000 Developing 74.0 182 0 9.40 6.765454e+02 NA 0 37.7 0 97 6.62 97 0.1 5.117590e+03 NA 4.3 4.2 0.000 14.1
Guatemala 2015 Developing 71.9 186 10 NA 0.000000e+00 74 0 5.6 12 9 NA 74 0.4 3.923573e+03 1.625243e+07 1.2 1.2 0.637 10.7
Guatemala 2014 Developing 71.7 187 10 1.88 6.575283e+02 73 0 49.9 13 65 6.20 73 0.4 3.687764e+03 1.592356e+07 1.2 1.2 0.614 10.7
Guatemala 2013 Developing 71.4 189 11 1.93 5.821470e+02 85 0 49.3 13 84 6.30 85 0.4 3.452829e+03 1.559621e+07 1.2 1.2 0.611 10.7
Guatemala 2012 Developing 71.3 189 11 2.02 4.847188e+02 96 0 48.6 13 94 6.33 96 0.4 3.299651e+03 1.527156e+06 1.2 1.2 0.616 10.6
Guatemala 2011 Developing 71.1 193 11 2.16 4.577746e+02 88 0 47.9 14 88 6.28 88 0.4 3.187845e+03 1.494892e+07 1.2 1.2 0.609 10.5
Guatemala 2010 Developing 77.0 196 12 2.14 4.433248e+02 94 0 47.2 14 94 6.64 94 0.4 2.825525e+03 1.463417e+06 1.3 1.3 0.602 10.5
Guatemala 2009 Developing 76.0 198 12 2.14 4.454423e+02 92 0 46.5 15 92 6.79 92 0.4 2.635753e+03 1.431628e+06 1.3 1.3 0.596 10.4
Guatemala 2008 Developing 79.0 19 13 2.21 4.722235e+02 95 0 45.9 15 96 6.65 95 0.4 2.794222e+03 1.463660e+05 1.3 1.3 0.589 10.4
Guatemala 2007 Developing 75.0 192 13 2.40 3.809632e+02 85 0 45.2 16 85 6.86 85 0.4 2.489956e+03 1.372860e+05 1.3 1.3 0.578 10.1
Guatemala 2006 Developing 69.7 24 14 2.38 3.520245e+02 89 0 44.5 17 9 7.70 89 0.4 2.256567e+03 1.339780e+05 1.4 1.4 0.570 9.8
Guatemala 2005 Developing 69.2 28 14 2.35 4.150846e+01 87 0 43.8 18 87 6.79 87 0.4 2.778344e+02 1.396280e+05 1.4 1.4 0.567 9.6
Guatemala 2004 Developing 69.6 21 15 2.40 2.884016e+02 NA 0 43.1 18 88 6.77 87 0.4 1.872738e+03 1.279693e+07 1.4 1.4 0.564 9.3
Guatemala 2003 Developing 69.4 24 15 2.45 2.493263e+02 NA 0 42.4 19 84 6.88 84 0.4 1.753349e+03 1.254780e+05 1.4 1.4 0.560 9.0
Guatemala 2002 Developing 69.3 21 16 2.41 2.525041e+01 NA 0 41.7 20 82 6.71 82 0.3 1.717715e+02 1.228848e+06 1.5 1.5 0.553 8.8
Guatemala 2001 Developing 68.4 211 16 2.53 2.250620e+02 NA 0 41.1 20 78 6.76 77 0.3 1.568376e+03 1.192495e+07 1.5 1.5 0.546 8.5
Guatemala 2000 Developing 67.7 221 17 2.63 2.387370e+02 NA 0 4.4 21 8 5.25 81 0.2 1.655596e+03 1.165743e+06 1.6 1.6 0.539 8.2
Guinea 2015 Developing 59.0 284 26 NA 0.000000e+00 54 243 23.3 40 42 NA 54 0.5 5.544877e+02 1.291533e+06 7.3 7.3 0.414 8.8
Guinea 2014 Developing 58.1 299 27 0.01 5.057976e+01 51 175 22.7 41 42 5.64 51 0.5 5.619974e+02 1.185590e+05 7.5 7.4 0.412 8.6
Guinea 2013 Developing 58.8 284 27 0.01 5.140669e+00 63 53 22.2 41 63 5.49 63 1.0 5.416932e+01 1.153662e+07 7.7 7.6 0.406 8.5
Guinea 2012 Developing 58.4 288 28 0.01 4.344931e+00 62 6 21.7 42 63 5.39 62 1.9 5.234856e+01 1.128147e+07 7.8 7.8 0.396 8.5
Guinea 2011 Developing 58.1 29 28 0.22 4.225479e+01 63 11 21.2 43 63 4.73 63 2.0 4.592912e+02 1.135170e+05 8.0 8.0 0.385 8.4
Guinea 2010 Developing 57.8 291 29 0.20 2.974734e+01 64 45 2.8 44 62 4.55 64 2.2 4.387513e+02 1.794170e+05 8.2 8.2 0.380 8.3
Guinea 2009 Developing 57.3 297 29 0.18 2.484764e+01 57 264 2.3 46 6 3.85 57 2.3 4.366896e+02 1.556524e+06 8.4 8.4 0.376 8.1
Guinea 2008 Developing 56.8 33 30 0.21 1.968510e+01 57 89 19.8 47 59 3.21 6 2.3 4.374467e+02 1.323142e+06 8.6 8.6 0.371 7.9
Guinea 2007 Developing 56.4 36 31 0.19 1.399627e+00 57 3 19.4 48 46 3.80 63 2.4 4.945678e+01 1.967270e+05 8.9 8.8 0.364 7.6
Guinea 2006 Developing 55.6 317 31 0.16 1.038393e+01 NA 4 19.0 49 53 3.20 57 2.6 2.966838e+02 9.881428e+06 9.1 9.1 0.356 7.1
Guinea 2005 Developing 54.7 327 32 0.21 1.099666e+00 NA 99 18.5 51 59 2.82 59 2.7 3.342450e+01 9.679745e+06 9.3 9.3 0.346 6.6
Guinea 2004 Developing 54.0 334 33 0.34 1.893011e+01 NA 10 18.1 53 65 3.14 6 2.8 3.863288e+02 9.492290e+05 9.5 9.5 0.325 5.1
Guinea 2003 Developing 53.3 338 34 0.18 2.395241e+00 NA 2497 17.7 55 61 3.45 57 2.9 3.719318e+01 9.398480e+05 9.7 9.7 0.338 5.9
Guinea 2002 Developing 52.9 337 35 0.21 2.133782e+01 NA 2151 17.3 56 56 3.76 53 3.0 3.228112e+02 9.137345e+06 9.9 9.9 0.329 5.5
Guinea 2001 Developing 52.5 336 36 0.17 1.989791e+01 NA 7408 16.9 58 52 3.65 5 3.0 3.158398e+02 8.971139e+06 1.1 1.1 0.322 5.1
Guinea 2000 Developing 52.5 328 37 0.17 2.215986e+00 NA 11294 16.6 60 47 3.46 46 3.0 3.451692e+01 8.885460e+05 1.3 1.3 0.316 4.8
Guinea-Bissau 2015 Developing 58.9 275 4 NA 0.000000e+00 87 153 26.3 6 87 NA 87 3.2 5.968717e+02 1.775260e+05 7.1 7.0 0.421 9.2
Guinea-Bissau 2014 Developing 58.4 282 4 0.01 5.006054e+01 87 1 25.6 6 87 5.59 87 3.4 6.426256e+02 1.725744e+06 7.3 7.1 0.419 9.2
Guinea-Bissau 2013 Developing 58.1 279 4 0.01 8.200637e+00 87 0 25.0 6 87 6.14 87 4.5 6.156635e+01 1.681495e+06 7.5 7.3 0.415 9.1
Guinea-Bissau 2012 Developing 57.6 285 4 0.01 9.485264e-01 87 0 24.3 6 87 5.96 87 5.3 6.775188e+01 1.638139e+06 7.7 7.5 0.416 9.1
Guinea-Bissau 2011 Developing 57.1 289 4 3.57 4.045367e+01 86 0 23.7 7 85 5.46 86 5.7 6.926999e+02 1.596154e+06 7.8 7.7 0.410 9.0
Guinea-Bissau 2010 Developing 56.7 287 4 3.21 5.330783e+01 83 26 23.1 7 82 6.70 83 5.9 5.439574e+02 1.555880e+05 8.0 7.9 0.405 8.9
Guinea-Bissau 2009 Developing 56.3 288 4 2.55 4.712969e+01 8 0 22.5 7 78 6.81 8 6.0 5.442228e+02 1.517448e+06 8.3 8.1 0.401 8.9
Guinea-Bissau 2008 Developing 55.6 297 5 2.64 2.830191e+01 NA 12 21.9 7 77 6.50 77 6.0 5.835446e+02 1.488410e+05 8.5 8.4 0.398 8.8
Guinea-Bissau 2007 Developing 55.0 32 5 2.98 3.106933e+01 NA 1 21.3 7 76 6.10 74 5.7 4.816950e+02 1.445958e+06 8.7 8.6 0.394 8.8
Guinea-Bissau 2006 Developing 54.4 36 5 3.22 2.153375e+01 NA 0 2.7 8 74 5.87 71 5.6 4.189445e+02 1.412669e+06 8.9 8.8 0.388 8.3
Guinea-Bissau 2005 Developing 53.9 37 5 3.10 2.209758e+01 NA 0 2.1 8 73 5.72 68 5.4 4.249535e+02 1.388380e+05 9.2 9.0 0.000 8.0
Guinea-Bissau 2004 Developing 53.5 38 5 2.58 1.353000e+01 NA 3526 19.6 8 69 5.41 64 5.0 3.933138e+02 1.353450e+05 9.4 9.3 0.000 7.7
Guinea-Bissau 2003 Developing 53.0 38 5 2.16 2.527115e+00 NA 1158 19.0 8 65 5.62 6 4.6 3.657186e+01 1.321220e+05 9.6 9.5 0.000 7.4
Guinea-Bissau 2002 Developing 52.8 35 5 2.47 2.465762e+01 NA 298 18.5 8 61 5.84 57 4.1 3.214813e+02 1.293523e+06 9.8 9.7 0.000 7.1
Guinea-Bissau 2001 Developing 52.5 32 5 2.55 8.687085e-01 NA 126 17.9 9 56 5.40 53 3.6 3.948675e+01 1.267512e+06 1.0 1.0 0.000 6.7
Guinea-Bissau 2000 Developing 52.1 3 5 2.84 6.699419e+00 NA 0 17.4 9 52 4.94 49 3.1 2.977519e+02 1.243229e+06 1.2 1.2 0.000 6.4
Guyana 2015 Developing 66.2 215 0 NA 0.000000e+00 95 0 46.7 1 92 NA 95 0.3 4.136690e+03 7.685140e+05 5.5 5.3 0.638 10.3
Guyana 2014 Developing 66.0 217 0 7.64 4.141293e+00 98 0 45.9 1 97 5.25 98 0.3 4.382321e+01 7.633930e+05 5.5 5.3 0.636 10.3
Guyana 2013 Developing 65.9 218 0 7.56 3.459044e+02 98 0 45.0 1 98 5.10 98 0.3 3.944178e+03 7.588100e+04 5.5 5.3 0.633 10.3
Guyana 2012 Developing 65.8 22 0 7.57 4.974719e+02 97 0 44.1 1 97 6.57 97 0.3 3.785936e+03 7.539100e+04 5.6 5.3 0.630 10.6
Guyana 2011 Developing 65.6 229 0 7.56 5.362333e+02 93 0 43.2 1 93 6.80 93 0.4 3.439598e+03 7.491000e+03 5.6 5.3 0.624 10.3
Guyana 2010 Developing 65.9 221 0 7.52 4.802859e+01 95 0 42.4 1 95 6.60 95 0.4 3.262812e+02 7.465560e+05 5.6 5.3 0.618 10.2
Guyana 2009 Developing 66.1 218 0 7.49 4.666694e+02 98 0 41.6 1 97 7.32 98 0.3 2.716353e+03 7.456930e+05 5.6 5.4 0.618 10.5
Guyana 2008 Developing 66.3 218 1 7.32 4.933279e+02 93 0 4.9 1 93 7.46 93 0.8 2.576125e+03 7.463140e+05 5.6 5.4 0.618 10.7
Guyana 2007 Developing 65.7 232 1 7.20 3.628702e+02 94 0 4.3 1 94 6.45 94 1.9 2.327583e+03 7.478690e+05 5.7 5.5 0.620 11.2
Guyana 2006 Developing 65.2 24 1 7.04 1.706326e+02 93 0 39.6 1 92 4.67 93 1.1 1.945639e+03 7.496100e+04 5.7 5.5 0.622 11.7
Guyana 2005 Developing 65.0 238 1 7.35 1.746406e+01 93 0 39.0 1 93 5.83 93 1.8 1.984552e+02 7.594600e+04 5.7 5.5 0.619 11.4
Guyana 2004 Developing 65.1 237 1 7.84 1.776181e+00 91 0 38.4 1 91 5.73 91 1.9 1.455886e+02 7.516520e+05 5.8 5.6 0.613 11.2
Guyana 2003 Developing 65.3 237 1 7.93 1.647949e+01 9 0 37.8 1 91 5.97 9 2.1 9.867958e+02 7.518570e+05 5.8 5.6 0.611 11.1
Guyana 2002 Developing 65.3 244 1 7.73 1.093634e+01 91 0 37.1 1 93 5.84 91 2.3 9.686748e+01 7.518840e+05 5.9 5.7 0.609 11.0
Guyana 2001 Developing 65.4 247 1 6.71 1.554979e+01 85 0 36.4 1 9 5.82 85 1.7 9.255825e+02 7.522630e+05 5.9 5.7 0.606 10.9
Guyana 2000 Developing 65.4 246 1 6.63 1.675481e+01 NA 0 35.7 1 79 5.85 88 1.1 9.465994e+02 7.533100e+04 5.9 5.8 0.602 10.9
Haiti 2015 Developing 63.5 24 14 NA 0.000000e+00 6 0 49.9 18 56 NA 6 0.5 8.145464e+02 1.711610e+05 3.9 3.9 0.490 9.1
Haiti 2014 Developing 63.1 245 14 0.01 5.103249e+00 48 0 48.8 19 55 7.56 48 0.5 8.311481e+01 1.572466e+06 3.9 3.9 0.487 9.1
Haiti 2013 Developing 62.7 253 14 5.68 4.989712e+00 68 0 47.7 19 67 8.10 68 0.5 8.126567e+01 1.431776e+06 3.9 3.9 0.483 9.1
Haiti 2012 Developing 62.3 259 15 5.68 2.637943e+01 NA 0 46.5 20 67 9.88 67 0.8 7.668438e+02 1.289210e+05 3.9 3.9 0.477 8.9
Haiti 2011 Developing 62.3 259 15 5.68 4.106484e+00 NA 0 45.3 20 67 1.41 68 1.5 7.493585e+01 1.145540e+05 4.0 4.0 0.470 8.7
Haiti 2010 Developing 36.3 682 23 5.76 3.629292e+01 NA 0 44.2 58 66 8.90 66 1.9 6.622795e+02 9.999617e+06 4.0 4.0 0.470 8.6
Haiti 2009 Developing 62.5 251 16 5.85 4.130079e+01 NA 0 43.0 21 65 6.68 65 2.0 6.682976e+02 9.852870e+05 4.1 4.1 0.466 8.5
Haiti 2008 Developing 62.1 259 16 5.95 6.383196e+01 NA 0 41.8 22 64 5.92 63 2.4 6.747564e+02 9.752900e+04 4.2 4.2 0.462 8.4
Haiti 2007 Developing 61.8 266 17 6.08 5.677859e+01 NA 0 4.7 23 62 5.56 63 2.7 6.158198e+02 9.556889e+06 4.2 4.2 0.458 8.4
Haiti 2006 Developing 61.1 28 17 6.18 6.995556e+00 NA 0 39.6 23 61 5.70 6 3.3 5.547626e+01 9.494570e+05 4.3 4.3 0.455 8.3
Haiti 2005 Developing 65.0 29 17 5.57 3.810904e+01 NA 0 38.5 24 6 4.41 6 3.9 4.653119e+02 9.263440e+05 4.4 4.4 0.452 8.2
Haiti 2004 Developing 58.7 32 18 6.10 6.439853e+01 NA 0 37.5 24 58 5.61 55 4.3 3.879430e+02 9.119178e+06 4.5 4.5 0.450 8.1
Haiti 2003 Developing 59.7 3 18 6.64 4.425687e+01 NA 0 36.5 25 56 5.32 53 4.6 3.297829e+02 8.976552e+06 4.5 4.6 0.447 8.1
Haiti 2002 Developing 59.3 33 19 6.10 5.028558e+01 NA 0 35.6 26 54 5.47 48 4.8 3.931633e+02 8.834733e+06 4.6 4.7 0.444 8.0
Haiti 2001 Developing 58.9 35 19 6.22 6.077816e+01 NA 159 34.8 27 52 5.63 45 5.0 4.137383e+02 8.692567e+06 4.7 4.7 0.443 7.9
Haiti 2000 Developing 58.6 35 20 4.79 7.446033e+01 NA 992 34.0 28 5 6.60 41 5.1 4.624865e+02 8.549200e+04 4.8 4.8 0.439 7.8
Honduras 2015 Developing 74.6 147 3 NA 0.000000e+00 97 0 51.0 4 97 NA 97 0.3 2.326159e+03 8.968290e+05 2.1 2.1 0.623 11.2
Honduras 2014 Developing 74.5 149 3 2.87 3.453776e+02 97 0 5.2 4 97 8.72 97 0.3 2.242712e+03 8.892160e+05 2.1 2.1 0.618 11.4
Honduras 2013 Developing 74.3 15 4 3.11 3.117553e+02 97 0 49.3 4 97 9.15 97 0.4 2.136774e+03 8.657785e+06 2.2 2.1 0.614 11.6
Honduras 2012 Developing 74.1 151 4 3.11 3.635722e+02 97 0 48.4 4 97 9.78 97 0.4 2.178383e+03 8.556460e+05 2.2 2.1 0.614 11.6
Honduras 2011 Developing 73.9 153 4 3.10 3.216408e+01 97 0 47.6 5 97 8.57 97 0.4 2.125848e+02 8.351600e+04 2.2 2.2 0.611 11.7
Honduras 2010 Developing 73.6 156 4 3.10 3.021058e+02 97 0 46.8 5 97 8.45 97 0.4 1.932858e+03 8.194778e+06 2.3 2.2 0.606 11.5
Honduras 2009 Developing 73.4 157 4 3.08 2.861211e+02 97 0 45.9 5 97 8.84 97 0.5 1.815489e+03 8.352100e+04 2.3 2.2 0.603 11.3
Honduras 2008 Developing 73.2 159 4 3.14 2.319113e+02 92 0 45.1 5 93 8.40 93 0.6 1.751596e+03 7.872658e+06 2.3 2.3 0.597 11.1
Honduras 2007 Developing 73.0 16 5 3.16 2.224823e+02 93 0 44.3 6 94 7.89 94 0.7 1.592572e+03 7.779720e+05 2.4 2.3 0.590 10.9
Honduras 2006 Developing 72.8 161 5 3.23 1.929298e+02 94 0 43.5 6 94 7.63 95 0.8 1.437629e+03 7.541460e+05 2.4 2.4 0.583 10.8
Honduras 2005 Developing 72.5 163 5 3.23 2.037135e+02 97 0 42.8 6 98 7.81 98 0.9 1.311742e+03 7.373430e+05 2.5 2.4 0.577 10.6
Honduras 2004 Developing 72.2 165 5 3.02 1.882499e+02 93 0 42.0 7 94 7.89 94 1.2 1.217658e+03 7.241530e+05 2.6 2.5 0.571 10.4
Honduras 2003 Developing 71.9 166 6 3.04 1.944336e+02 91 0 41.2 7 92 8.29 92 1.4 1.157343e+03 7.338210e+05 2.6 2.5 0.566 10.3
Honduras 2002 Developing 71.6 169 6 3.09 1.548636e+02 94 0 4.4 7 95 7.28 95 1.5 1.132872e+03 6.863157e+06 2.7 2.6 0.561 10.1
Honduras 2001 Developing 71.3 171 6 2.74 1.536175e+01 95 0 39.6 8 99 6.88 96 1.6 1.134546e+02 6.693610e+05 2.7 2.7 0.557 9.9
Honduras 2000 Developing 71.0 174 6 2.61 2.880831e+01 93 0 38.8 8 88 6.63 94 1.7 1.887832e+02 6.524283e+06 2.8 2.7 0.551 9.8
Hungary 2015 Developed 75.8 134 0 NA 0.000000e+00 NA 0 64.8 0 99 NA 99 0.1 1.236563e+04 9.843280e+05 1.6 1.6 0.834 15.6
Hungary 2014 Developed 75.6 137 0 0.01 1.609449e+02 NA 0 64.2 0 99 7.40 99 0.1 1.411798e+04 9.866468e+06 1.7 1.6 0.834 15.8
Hungary 2013 Developed 75.5 139 0 10.88 1.551952e+02 NA 1 63.6 1 99 7.53 99 0.1 1.361361e+04 9.893820e+05 1.7 1.7 0.824 15.4
Hungary 2012 Developed 75.0 146 0 11.27 1.642793e+02 NA 2 63.0 1 99 7.74 99 0.1 1.283432e+04 9.923620e+05 1.7 1.7 0.823 15.4
Hungary 2011 Developed 74.8 15 0 11.51 1.782122e+01 NA 5 62.4 1 99 7.84 99 0.1 1.448880e+03 9.971727e+06 1.7 1.7 0.821 15.4
Hungary 2010 Developed 74.5 156 0 10.78 1.922024e+01 NA 0 61.7 1 99 7.85 99 0.1 1.325534e+03 1.230000e+02 1.8 1.8 0.817 15.3
Hungary 2009 Developed 74.2 162 0 11.46 1.281156e+03 NA 1 61.1 1 99 7.55 99 0.1 1.296717e+04 1.226500e+04 1.8 1.8 0.816 15.3
Hungary 2008 Developed 74.1 165 1 11.64 1.817634e+02 NA 0 6.5 1 99 7.33 99 0.1 1.566926e+04 1.381880e+05 1.9 1.9 0.812 15.3
Hungary 2007 Developed 73.5 176 1 12.55 1.633433e+02 NA 0 59.9 1 99 7.51 99 0.1 1.384265e+04 1.557800e+04 1.9 1.9 0.809 15.3
Hungary 2006 Developed 73.4 177 1 13.16 1.299459e+03 NA 1 59.3 1 99 8.10 99 0.1 1.139877e+04 1.713700e+04 2.0 2.0 0.802 15.2
Hungary 2005 Developed 72.9 182 1 12.94 1.317083e+03 NA 2 58.8 1 99 8.28 99 0.1 1.116172e+04 1.876500e+04 2.0 2.0 0.795 15.0
Hungary 2004 Developed 72.9 18 1 13.28 1.468608e+02 NA 0 58.2 1 99 8.80 99 0.1 1.259527e+03 1.171460e+05 2.1 2.1 0.793 15.3
Hungary 2003 Developed 72.5 184 1 13.24 1.030220e+03 NA 0 57.6 1 99 8.42 99 0.1 8.396253e+03 1.129552e+06 2.1 2.1 0.784 14.9
Hungary 2002 Developed 72.5 184 1 13.29 8.986198e+00 NA 0 57.1 1 98 7.47 99 0.1 6.656443e+02 1.158680e+05 2.2 2.2 0.775 14.6
Hungary 2001 Developed 72.3 185 1 13.18 7.601092e+00 NA 20 56.6 1 99 7.11 99 0.1 5.278536e+02 1.187576e+06 2.2 2.2 0.769 14.2
Hungary 2000 Developed 71.7 193 1 12.22 7.536251e+01 NA 1 56.1 1 99 7.60 99 0.1 4.623467e+03 1.219710e+05 2.3 2.3 0.761 13.9
Iceland 2015 Developed 82.7 49 0 NA 0.000000e+00 NA 0 61.0 0 92 NA 92 0.1 5.734444e+03 3.381500e+04 1.0 0.9 0.919 19.0
Iceland 2014 Developed 82.5 49 0 7.45 8.254021e+03 NA 0 6.6 0 9 8.86 9 0.1 5.247311e+04 3.273860e+05 1.0 0.9 0.915 19.0
Iceland 2013 Developed 82.4 5 0 7.31 7.645441e+02 NA 0 6.2 0 91 8.75 91 0.1 4.781389e+03 3.237640e+05 1.0 0.9 0.907 19.0
Iceland 2012 Developed 82.5 5 0 7.81 6.818546e+03 NA 0 59.7 0 89 8.68 89 0.1 4.433385e+04 3.271600e+04 1.0 0.9 0.901 18.7
Iceland 2011 Developed 82.1 51 0 8.13 7.048093e+00 NA 0 59.3 0 95 8.65 95 0.1 4.621700e+01 3.191400e+04 0.9 0.9 0.894 18.6
Iceland 2010 Developed 81.8 53 0 8.25 6.005576e+03 NA 0 58.9 0 96 8.86 96 0.1 4.167645e+04 3.184100e+04 0.9 0.9 0.894 18.4
Iceland 2009 Developed 81.6 55 0 10.22 6.875776e+02 NA 0 58.5 0 96 9.12 96 0.1 4.461893e+03 3.184990e+05 0.9 0.9 0.894 18.4
Iceland 2008 Developed 81.4 58 0 8.49 7.613815e+03 NA 0 58.1 0 98 8.80 98 0.1 5.557529e+04 3.174140e+05 0.9 0.9 0.892 18.2
Iceland 2007 Developed 81.3 59 0 7.53 1.204297e+04 NA 0 57.8 0 97 8.75 97 0.1 6.834832e+04 3.115660e+05 0.9 0.9 0.887 18.2
Iceland 2006 Developed 81.1 61 0 7.20 1.003140e+03 NA 0 57.4 0 97 8.96 97 0.1 5.613541e+03 3.378200e+04 0.9 0.9 0.884 18.1
Iceland 2005 Developed 81.0 62 0 7.05 1.063120e+04 NA 0 56.9 0 95 9.21 95 0.1 5.624976e+04 2.967340e+05 0.9 0.9 0.879 17.9
Iceland 2004 Developed 88.0 65 0 6.79 8.506101e+03 NA 0 56.5 0 99 9.59 99 0.1 4.691727e+04 2.927400e+04 1.0 0.9 0.873 18.3
Iceland 2003 Developed 87.0 65 0 6.61 7.254853e+02 NA 0 55.9 0 97 1.70 97 0.1 3.944999e+03 2.895210e+05 1.0 0.9 0.866 17.6
Iceland 2002 Developed 84.0 7 0 6.61 5.948097e+03 NA 0 55.4 0 95 9.86 95 0.1 3.199622e+04 2.875230e+05 1.0 0.9 0.859 17.2
Iceland 2001 Developed 80.0 72 0 6.37 5.048274e+03 NA 0 54.8 0 92 9.12 92 0.1 2.858593e+04 2.849680e+05 1.0 0.9 0.854 17.1
Iceland 2000 Developed 79.7 74 0 6.17 5.809122e+03 NA 0 54.2 0 98 9.28 98 0.1 3.181337e+04 2.812500e+04 1.0 0.9 0.847 16.8
India 2015 Developing 68.3 181 910 NA 0.000000e+00 87 90387 18.7 1100 86 NA 87 0.2 1.613189e+03 1.395398e+06 26.7 27.3 0.615 11.6
India 2014 Developing 68.0 184 957 3.07 8.652154e+01 79 79563 18.1 1200 84 4.69 85 0.2 1.573119e+03 1.293859e+09 26.8 27.4 0.607 11.6
India 2013 Developing 67.6 187 1000 3.11 6.767230e+01 7 13822 17.5 1300 82 4.53 83 0.2 1.452195e+03 1.278562e+08 26.8 27.5 0.599 11.5
India 2012 Developing 67.3 19 1100 3.10 6.496964e+01 73 18668 17.0 1400 79 4.39 82 0.2 1.446985e+03 1.263659e+08 26.9 27.6 0.590 11.3
India 2011 Developing 66.8 193 1100 3.00 6.460590e+01 44 33634 16.4 1500 79 4.33 82 0.2 1.461672e+03 1.247236e+08 26.9 27.7 0.580 10.8
India 2010 Developing 66.4 196 1200 2.77 5.773360e+01 38 31458 15.9 1600 76 4.28 79 0.2 1.345772e+03 1.239869e+07 27.0 27.8 0.569 10.4
India 2009 Developing 66.0 2 1300 2.50 8.441863e-01 37 56188 15.4 1700 73 4.38 74 0.2 1.931777e+01 1.214271e+08 27.0 27.8 0.563 10.5
India 2008 Developing 65.5 23 1300 1.93 4.303043e+01 29 44258 14.9 1800 69 4.34 7 0.3 9.914846e+02 1.197147e+08 27.0 27.9 0.556 10.2
India 2007 Developing 65.2 26 1400 1.59 5.234770e+00 6 41144 14.4 1900 67 4.23 64 0.3 1.181664e+02 1.179681e+09 27.1 28.0 0.546 9.9
India 2006 Developing 64.8 28 1500 1.37 3.485943e+01 6 64185 13.9 2000 66 4.25 65 0.3 7.922597e+02 1.161978e+09 27.1 28.0 0.536 9.7
India 2005 Developing 64.4 211 1500 1.27 3.509637e+00 8 36711 13.5 2000 65 4.28 65 0.3 7.781900e+01 1.144119e+09 27.2 28.1 0.526 9.4
India 2004 Developing 64.0 214 1600 1.20 2.733801e+01 6 55443 13.0 2100 58 4.22 63 0.3 6.213184e+02 1.126136e+09 27.2 28.2 0.518 9.2
India 2003 Developing 63.7 216 1700 1.19 1.948087e+01 NA 47147 12.6 2200 57 4.30 61 0.3 5.411352e+02 1.182785e+07 27.3 28.3 0.505 8.6
India 2002 Developing 63.3 219 1700 1.10 1.781206e+01 NA 40044 12.2 2300 58 4.40 59 0.3 4.662842e+02 1.898711e+07 27.4 28.4 0.499 8.4
India 2001 Developing 62.9 222 1800 1.00 1.900341e+01 NA 51780 11.8 2400 58 4.50 59 0.3 4.471390e+02 1.714779e+08 27.5 28.5 0.494 8.3
India 2000 Developing 62.5 224 1800 0.93 1.926616e+01 NA 38835 11.4 2500 57 4.26 58 0.3 4.388646e+02 1.535912e+06 27.7 28.6 0.489 8.3
Indonesia 2015 Developing 69.1 176 114 NA 0.000000e+00 78 15099 27.4 136 8 NA 78 0.3 3.336167e+03 2.581621e+08 1.4 1.2 0.686 12.9
Indonesia 2014 Developing 68.9 179 119 0.09 2.000684e+02 78 12943 26.5 142 8 2.85 78 0.3 3.491596e+03 2.551311e+08 1.4 1.2 0.682 12.9
Indonesia 2013 Developing 68.7 181 124 0.09 2.284783e+01 85 8419 25.6 148 86 2.93 85 0.3 3.626640e+02 2.523226e+07 1.5 1.3 0.677 12.9
Indonesia 2012 Developing 68.5 183 129 0.08 2.544688e+02 83 15489 24.7 154 84 2.90 83 0.3 3.687954e+03 2.488832e+08 1.5 1.4 0.669 12.6
Indonesia 2011 Developing 68.3 185 134 0.08 2.118783e+02 81 21893 23.8 161 81 2.71 81 0.3 3.634277e+03 2.457751e+07 1.6 1.5 0.662 12.3
Indonesia 2010 Developing 68.1 187 138 0.08 1.905454e+02 83 18869 22.9 167 82 2.74 81 0.3 3.113486e+03 2.425241e+08 1.6 1.5 0.656 12.1
Indonesia 2009 Developing 67.9 189 143 0.08 1.257981e+02 82 20818 22.1 174 85 2.83 78 0.3 2.254446e+03 2.393448e+07 1.7 1.6 0.645 11.7
Indonesia 2008 Developing 67.7 189 149 0.07 1.026341e+01 82 15369 21.3 181 83 2.81 77 0.2 2.165277e+02 2.361593e+08 1.7 1.7 0.641 11.7
Indonesia 2007 Developing 67.5 19 154 0.06 1.026334e+02 76 19456 2.5 188 77 3.10 73 0.2 1.855939e+03 2.329891e+08 1.8 1.7 0.638 11.0
Indonesia 2006 Developing 67.3 191 159 0.06 7.201593e+01 66 20422 19.7 194 78 2.91 72 0.1 1.586254e+03 2.298382e+07 1.8 1.8 0.632 10.9
Indonesia 2005 Developing 67.2 19 163 0.06 5.381783e+00 65 15853 19.0 201 79 2.79 72 0.1 1.269288e+02 2.267127e+07 1.9 1.9 0.629 11.1
Indonesia 2004 Developing 65.3 213 174 0.06 5.536107e+01 64 29171 18.2 237 79 2.37 71 0.1 1.148570e+03 2.236146e+08 1.9 1.9 0.624 11.0
Indonesia 2003 Developing 66.9 189 173 0.05 8.460156e+00 64 24457 17.5 215 8 2.53 71 0.1 1.645945e+02 2.254521e+07 1.9 11.0 0.613 10.8
Indonesia 2002 Developing 66.7 189 177 0.05 4.317867e+01 63 14492 16.7 222 8 2.27 7 0.1 8.995557e+02 2.175859e+06 11.0 11.1 0.608 10.6
Indonesia 2001 Developing 66.5 188 182 0.06 3.395837e+01 62 3825 16.0 229 77 2.23 76 0.1 7.479817e+02 2.145652e+06 11.0 11.1 0.604 10.6
Indonesia 2000 Developing 66.3 188 187 0.06 3.433344e+00 65 3344 15.4 237 72 1.98 75 0.1 7.892744e+01 2.115443e+07 11.0 11.2 0.597 10.7
Iran (Islamic Republic of) 2015 Developing 75.5 83 18 NA 0.000000e+00 98 615 59.7 21 98 NA 98 0.1 NA NA 8.5 8.6 0.774 14.8
Iran (Islamic Republic of) 2014 Developing 75.4 83 19 0.01 0.000000e+00 99 99 58.5 22 99 6.89 99 0.1 NA NA 8.3 8.4 0.770 14.9
Iran (Islamic Republic of) 2013 Developing 75.3 83 20 0.01 0.000000e+00 99 189 57.2 23 98 6.49 98 0.1 NA NA 8.2 8.3 0.769 15.0
Iran (Islamic Republic of) 2012 Developing 75.1 85 21 0.01 0.000000e+00 98 332 56.0 24 99 6.98 99 0.1 NA NA 8.0 8.2 0.755 13.6
Iran (Islamic Republic of) 2011 Developing 74.7 93 22 0.03 0.000000e+00 99 73 54.8 25 99 7.12 99 0.1 NA NA 7.9 8.1 0.745 13.1
Iran (Islamic Republic of) 2010 Developing 74.1 16 22 0.03 0.000000e+00 99 538 53.6 26 99 8.20 99 0.1 NA NA 7.8 8.0 0.735 12.9
Iran (Islamic Republic of) 2009 Developing 73.3 122 23 0.03 0.000000e+00 99 262 52.5 27 99 7.63 99 0.1 NA NA 7.7 7.9 0.728 12.8
Iran (Islamic Republic of) 2008 Developing 72.7 135 24 0.02 0.000000e+00 99 127 51.4 28 99 6.28 99 0.1 NA NA 7.6 7.8 0.716 12.1
Iran (Islamic Republic of) 2007 Developing 72.4 138 25 0.02 0.000000e+00 97 133 5.4 29 98 5.84 99 0.1 NA NA 7.5 7.8 0.704 11.8
Iran (Islamic Republic of) 2006 Developing 72.2 139 26 0.02 0.000000e+00 98 220 49.4 30 99 5.95 98 0.1 NA NA 7.4 7.7 0.692 11.4
Iran (Islamic Republic of) 2005 Developing 72.0 139 27 0.01 0.000000e+00 94 7 48.5 32 95 6.60 95 0.1 NA NA 7.4 7.7 0.687 11.4
Iran (Islamic Republic of) 2004 Developing 71.8 139 28 0.01 0.000000e+00 95 3 47.6 33 98 5.89 99 0.1 NA NA 7.4 7.7 0.686 11.8
Iran (Islamic Republic of) 2003 Developing 75.0 154 29 0.01 0.000000e+00 98 11644 46.9 35 99 5.42 99 0.1 NA NA 7.5 7.7 0.679 11.8
Iran (Islamic Republic of) 2002 Developing 71.2 142 31 0.01 0.000000e+00 99 9554 46.2 37 99 5.39 99 0.1 NA NA 7.6 7.7 0.674 11.9
Iran (Islamic Republic of) 2001 Developing 78.0 146 33 0.01 0.000000e+00 94 9582 45.5 40 95 5.20 96 0.1 NA NA 7.7 7.8 0.666 11.6
Iran (Islamic Republic of) 2000 Developing 73.0 15 35 0.01 0.000000e+00 99 11874 44.9 43 99 4.47 99 0.1 NA NA 7.8 7.9 0.660 11.6
Iraq 2015 Developing 68.9 182 32 NA 0.000000e+00 56 1433 59.1 38 63 NA 58 0.1 4.974269e+03 3.611565e+07 5.3 5.1 0.649 10.1
Iraq 2014 Developing 67.9 199 32 0.01 4.352408e+01 62 1317 58.5 39 67 5.54 64 0.1 6.737474e+02 3.568000e+03 5.3 5.1 0.658 10.1
Iraq 2013 Developing 69.5 17 32 0.01 4.473695e+02 66 669 57.8 39 7 5.92 68 0.1 6.925224e+03 3.388315e+07 5.3 5.1 0.659 10.3
Iraq 2012 Developing 76.0 147 32 0.01 4.296625e+02 61 15 57.2 39 7 5.26 69 0.1 6.651122e+03 3.277657e+07 5.3 5.1 0.656 10.5
Iraq 2011 Developing 77.0 144 32 0.17 2.851197e+02 77 15 56.5 39 8 3.32 79 0.1 5.854614e+03 3.172753e+06 5.3 5.1 0.649 10.4
Iraq 2010 Developing 76.0 145 32 0.19 2.182252e+01 72 492 55.8 39 74 3.82 74 0.1 4.527495e+02 3.762710e+05 5.3 5.1 0.646 10.4
Iraq 2009 Developing 74.0 148 32 0.20 1.856367e+02 75 30328 55.2 39 78 4.65 78 0.1 3.735145e+03 2.989465e+07 5.4 5.1 0.643 10.3
Iraq 2008 Developing 69.3 167 32 0.17 1.921563e+02 66 5494 54.5 38 71 3.93 69 0.1 4.521325e+03 2.911142e+07 5.4 5.1 0.638 10.3
Iraq 2007 Developing 65.9 227 31 0.14 1.467606e+02 56 230 53.8 38 74 3.69 57 0.1 3.129225e+03 2.839433e+06 5.4 5.1 0.636 10.2
Iraq 2006 Developing 64.7 249 31 0.03 7.525800e+01 59 474 53.2 38 63 3.00 59 0.1 2.351812e+03 2.769791e+07 5.4 5.1 0.631 10.2
Iraq 2005 Developing 66.8 29 31 0.18 5.918845e+01 65 908 52.5 37 69 4.13 65 0.1 1.849639e+03 2.784260e+05 5.4 5.2 0.628 10.1
Iraq 2004 Developing 67.2 21 30 0.32 4.412060e+01 62 9081 51.9 37 69 5.61 74 0.1 1.391817e+03 2.631669e+06 5.4 5.2 0.603 9.8
Iraq 2003 Developing 66.5 213 30 0.07 0.000000e+00 63 0 51.3 37 73 4.36 75 0.1 NA 2.562763e+07 5.5 5.2 0.616 9.4
Iraq 2002 Developing 74.0 14 30 0.15 0.000000e+00 65 0 5.6 37 76 NA 77 0.1 NA 2.493930e+07 5.5 5.3 0.614 9.1
Iraq 2001 Developing 72.0 142 30 0.17 0.000000e+00 66 4088 5.1 37 8 NA 78 0.1 NA 2.425165e+07 5.6 5.3 0.607 8.7
Iraq 2000 Developing 70.0 144 30 0.20 0.000000e+00 67 726 49.5 37 83 NA 8 0.1 NA 2.356541e+07 5.6 5.4 0.603 8.6
Ireland 2015 Developed 81.4 64 0 NA 0.000000e+00 95 4 62.8 0 95 NA 95 0.1 6.664144e+03 4.676835e+06 0.3 0.2 0.920 18.6
Ireland 2014 Developed 81.2 66 0 10.75 7.463670e+02 95 33 62.1 0 96 7.78 96 0.1 5.553326e+03 4.617225e+06 0.3 0.2 0.910 18.6
Ireland 2013 Developed 81.0 67 0 10.49 7.035527e+02 95 51 61.3 0 96 8.10 96 0.1 5.234767e+03 4.598294e+06 0.3 0.2 0.902 18.6
Ireland 2012 Developed 85.0 69 0 11.49 6.616695e+03 95 107 6.5 0 95 8.32 95 0.1 4.923136e+04 4.586897e+06 0.3 0.2 0.895 18.5
Ireland 2011 Developed 84.0 7 0 11.72 6.386954e+03 95 285 59.7 0 95 8.15 95 0.1 5.256753e+04 4.576794e+06 0.3 0.2 0.909 18.5
Ireland 2010 Developed 86.0 68 0 11.88 4.509235e+03 46 443 58.9 0 94 8.76 94 0.1 4.853859e+04 4.561550e+05 0.3 0.2 0.907 18.2
Ireland 2009 Developed 79.7 77 0 11.41 7.620823e+03 NA 164 58.2 0 94 9.53 94 0.1 5.198379e+04 4.535375e+06 0.3 0.2 0.909 17.9
Ireland 2008 Developed 79.8 75 0 12.66 9.528231e+03 NA 57 57.4 0 93 8.64 93 0.1 6.123542e+04 4.489544e+06 0.3 0.2 0.908 17.9
Ireland 2007 Developed 79.5 75 0 13.59 9.797553e+03 NA 64 56.6 0 92 7.57 92 0.1 6.138817e+04 4.398942e+06 0.3 0.2 0.902 17.6
Ireland 2006 Developed 79.0 78 0 13.44 9.126931e+03 NA 87 55.8 0 91 7.22 91 0.1 5.432697e+04 4.273591e+06 0.3 0.2 0.896 17.6
Ireland 2005 Developed 78.7 78 0 13.31 9.736813e+02 NA 95 55.1 0 9 7.27 9 0.1 5.886828e+03 4.159914e+06 0.3 0.2 0.889 17.5
Ireland 2004 Developed 78.3 82 0 13.32 8.040220e+03 NA 334 54.4 0 89 7.34 89 0.1 4.763164e+04 4.726200e+04 0.3 0.2 0.880 17.1
Ireland 2003 Developed 78.0 82 0 13.24 6.752135e+02 NA 584 53.6 0 86 7.50 86 0.1 4.117155e+03 3.996521e+06 0.3 0.2 0.870 16.8
Ireland 2002 Developed 77.4 88 0 14.17 5.092384e+03 NA 243 52.9 0 83 6.85 83 0.1 3.253919e+04 3.931947e+06 0.3 0.3 0.862 16.5
Ireland 2001 Developed 77.0 89 0 14.27 4.264579e+03 NA 241 52.2 0 84 6.60 84 0.1 2.822356e+04 3.866243e+06 0.3 0.3 0.857 16.4
Ireland 2000 Developed 76.4 94 0 14.07 3.794581e+03 NA 0 51.5 0 86 6.30 86 0.1 2.624192e+04 3.851740e+05 0.3 0.3 0.848 16.2
Israel 2015 Developing 82.5 58 0 NA 0.000000e+00 96 80 64.9 1 95 NA 95 0.1 3.572937e+04 8.381000e+03 1.2 1.1 0.898 16.0
Israel 2014 Developing 82.2 6 1 2.62 4.348335e+03 97 6 64.6 1 95 7.81 95 0.1 3.758285e+04 8.215700e+04 1.2 1.1 0.895 16.0
Israel 2013 Developing 82.1 61 1 2.69 4.279896e+03 97 50 64.2 1 96 7.89 96 0.1 3.639367e+04 8.595000e+03 1.2 1.1 0.891 15.9
Israel 2012 Developing 81.8 6 1 2.78 3.830185e+03 97 211 63.8 1 94 7.73 94 0.1 3.256960e+04 7.915000e+03 1.2 1.1 0.889 15.9
Israel 2011 Developing 81.8 61 1 2.67 3.793162e+03 98 70 63.4 1 94 7.39 94 0.1 3.365716e+04 7.765800e+04 1.2 1.1 0.883 15.8
Israel 2010 Developing 81.7 61 1 2.63 4.094109e+02 97 23 63.0 1 95 7.36 95 0.1 3.661994e+03 7.623600e+04 1.2 1.1 0.878 15.7
Israel 2009 Developing 81.5 63 1 2.55 5.086645e+02 98 5 62.6 1 96 7.46 96 0.1 2.779588e+04 7.485600e+04 1.2 1.1 0.876 15.6
Israel 2008 Developing 81.0 65 1 2.47 4.715533e+02 99 931 62.1 1 94 7.33 94 0.1 2.965744e+04 7.388000e+03 1.1 1.1 0.877 15.8
Israel 2007 Developing 84.0 68 1 2.33 4.345102e+00 99 539 61.6 1 95 7.37 95 0.1 2.586370e+02 7.181000e+03 1.1 1.1 0.872 15.7
Israel 2006 Developing 84.0 68 1 2.23 3.358621e+01 96 9 61.1 1 94 7.38 95 0.1 2.195177e+03 7.537000e+03 1.1 1.1 0.870 15.7
Israel 2005 Developing 80.0 71 1 2.41 2.509343e+02 96 2 6.6 1 95 7.44 93 0.1 2.611179e+03 6.931000e+03 1.1 1.1 0.866 15.8
Israel 2004 Developing 81.0 69 1 2.23 1.895343e+03 99 116 6.1 1 95 7.35 95 0.1 1.988817e+04 6.890000e+02 1.1 1.1 0.863 15.9
Israel 2003 Developing 79.7 71 1 2.32 1.731756e+03 98 124 59.6 1 93 7.44 93 0.1 1.894700e+04 6.689700e+04 1.1 1.1 0.863 16.0
Israel 2002 Developing 79.3 74 1 2.47 1.701196e+03 98 2 59.2 1 91 7.49 9 0.1 1.843116e+04 6.570000e+02 1.1 1.1 0.855 15.3
Israel 2001 Developing 79.3 74 1 2.53 2.227333e+01 96 19 58.7 1 93 7.61 92 0.1 2.361965e+02 6.439000e+03 1.1 1.1 0.850 15.1
Israel 2000 Developing 78.9 76 1 2.53 1.999341e+02 98 36 58.3 1 93 7.13 93 0.1 2.152143e+03 6.289000e+03 1.1 1.1 0.845 15.2
Italy 2015 Developed 82.7 56 1 NA 0.000000e+00 93 159 63.6 2 93 NA 93 0.1 3.491476e+02 6.735820e+05 0.6 0.6 0.881 16.3
Italy 2014 Developed 82.5 57 2 7.56 4.831645e+03 95 0 63.1 2 95 9.25 95 0.1 3.539667e+04 6.789140e+05 0.6 0.6 0.877 16.3
Italy 2013 Developed 82.3 58 2 7.35 4.831917e+02 96 0 62.6 2 96 9.22 96 0.1 3.537274e+03 6.233948e+06 0.5 0.6 0.876 16.5
Italy 2012 Developed 82.0 6 2 7.49 4.793905e+03 96 376 62.1 2 96 9.28 97 0.1 3.481412e+04 5.953972e+07 0.5 0.6 0.877 16.6
Italy 2011 Developed 82.0 6 2 6.98 5.439692e+03 96 5189 61.5 2 96 9.27 96 0.1 3.833468e+04 5.937945e+07 0.5 0.5 0.872 16.4
Italy 2010 Developed 81.8 6 2 6.95 5.219669e+03 96 372 61.0 2 96 9.42 96 0.1 3.584937e+04 5.927742e+07 0.5 0.5 0.869 16.4
Italy 2009 Developed 81.6 61 2 7.25 5.243317e+03 96 351 6.5 2 96 9.41 96 0.1 3.697685e+04 5.995365e+06 0.5 0.5 0.868 16.3
Italy 2008 Developed 81.5 61 2 7.96 6.637841e+01 96 1617 59.9 2 96 8.89 96 0.1 4.641846e+02 5.882673e+07 0.5 0.5 0.866 16.3
Italy 2007 Developed 81.3 63 2 8.37 5.228822e+03 97 321 59.4 2 97 8.48 97 0.1 3.769879e+04 5.843831e+06 0.5 0.5 0.862 16.1
Italy 2006 Developed 81.2 65 2 8.44 4.731915e+02 96 439 58.8 2 97 8.82 96 0.1 3.341748e+03 5.814398e+07 0.5 0.5 0.856 16.0
Italy 2005 Developed 88.0 66 2 8.65 4.506256e+03 96 135 58.2 2 97 8.71 95 0.1 3.195926e+04 5.796948e+07 0.5 0.5 0.851 15.8
Italy 2004 Developed 89.0 66 2 8.98 4.270915e+03 96 599 57.6 3 97 8.49 94 0.1 3.117456e+04 5.768533e+07 0.5 0.5 0.846 15.6
Italy 2003 Developed 79.9 72 2 9.30 3.519259e+03 95 10982 57.0 3 97 8.17 96 0.1 2.738723e+04 5.731323e+06 0.5 0.5 0.841 15.4
Italy 2002 Developed 80.0 72 2 9.25 2.883335e+03 95 9385 56.4 3 96 8.23 93 0.1 2.219657e+04 5.759700e+04 0.5 0.5 0.836 15.2
Italy 2001 Developed 79.8 75 2 9.69 3.122230e+00 95 0 55.7 3 96 8.11 93 0.1 2.481900e+01 5.697410e+05 0.5 0.5 0.828 14.9
Italy 2000 Developed 79.4 77 3 9.78 3.150582e+01 94 1457 55.0 3 97 7.91 87 0.1 2.512426e+02 5.694218e+06 0.5 0.5 0.823 14.8
Jamaica 2015 Developing 76.2 125 1 NA 0.000000e+00 91 0 54.2 1 91 NA 91 0.5 4.965990e+03 2.871934e+06 1.8 1.7 0.729 12.8
Jamaica 2014 Developing 75.8 133 1 3.83 4.273055e+02 92 0 53.5 1 93 5.36 92 0.5 4.855744e+03 2.862870e+05 1.8 1.7 0.727 12.8
Jamaica 2013 Developing 75.6 136 1 3.79 5.457289e+00 93 0 52.7 1 86 5.91 93 0.6 5.614495e+01 2.851870e+05 1.8 1.7 0.727 12.8
Jamaica 2012 Developing 75.3 138 1 3.65 3.717109e+01 96 0 52.0 1 96 5.66 96 0.5 5.213336e+02 2.849920e+05 1.8 1.7 0.725 12.8
Jamaica 2011 Developing 75.2 139 1 3.58 3.317530e+01 92 1 51.2 1 93 5.21 92 0.6 5.135495e+02 2.829493e+06 1.8 1.7 0.722 12.8
Jamaica 2010 Developing 75.0 138 1 3.55 3.966271e+02 94 0 5.5 1 94 5.30 94 0.5 4.682728e+03 2.817210e+05 1.8 1.7 0.721 12.7
Jamaica 2009 Developing 74.7 142 1 3.33 2.357067e+02 9 0 49.7 1 9 5.16 9 0.6 4.293383e+03 2.848200e+04 1.9 1.7 0.721 12.7
Jamaica 2008 Developing 74.5 145 1 3.51 3.176576e+01 92 2 48.9 1 91 5.40 91 0.4 4.924924e+02 2.791220e+05 1.9 1.7 0.718 12.6
Jamaica 2007 Developing 74.2 148 1 3.64 2.562349e+01 92 0 48.1 1 94 4.87 92 0.9 4.625179e+02 2.775467e+06 1.9 1.7 0.714 12.5
Jamaica 2006 Developing 74.0 15 1 3.63 1.940926e+02 97 0 47.2 1 99 4.22 95 1.5 4.313168e+03 2.762790e+05 1.9 1.7 0.709 12.5
Jamaica 2005 Developing 73.5 161 1 3.59 1.697512e+01 99 0 46.3 1 99 4.70 99 1.9 4.822476e+02 2.744673e+06 1.9 1.7 0.706 12.4
Jamaica 2004 Developing 73.3 165 1 3.67 1.923226e+02 98 0 45.4 1 97 4.80 98 2.3 3.719974e+03 2.728777e+06 1.9 1.8 0.689 11.1
Jamaica 2003 Developing 73.1 166 1 3.48 1.555885e+02 36 0 44.5 1 99 4.56 96 2.3 3.465222e+03 2.712511e+06 1.9 1.8 0.694 11.9
Jamaica 2002 Developing 73.0 167 1 3.76 2.111143e+02 NA 0 43.5 1 99 4.86 99 2.3 3.596496e+03 2.695446e+06 2.0 1.8 0.690 11.7
Jamaica 2001 Developing 72.7 171 1 3.89 1.602382e+02 NA 0 42.5 1 99 5.34 99 2.2 3.394878e+03 2.677110e+05 2.0 1.8 0.680 10.9
Jamaica 2000 Developing 72.6 171 1 3.46 2.482763e+01 NA 0 41.6 1 95 5.81 93 2.2 3.368742e+02 2.656864e+06 2.0 1.9 0.682 11.4
Japan 2015 Developed 83.7 55 2 NA 0.000000e+00 NA 35 29.0 3 99 NA 96 0.1 3.447414e+04 1.271410e+05 2.1 1.8 0.902 15.3
Japan 2014 Developed 83.5 57 2 0.01 8.883362e+01 NA 462 28.6 3 99 1.23 96 0.1 3.896212e+03 1.272760e+05 2.0 1.7 0.899 15.3
Japan 2013 Developed 83.5 56 2 7.55 9.443429e+01 NA 229 28.2 3 99 1.25 96 0.1 4.454447e+03 1.274450e+05 2.0 1.7 0.894 15.3
Japan 2012 Developed 83.3 58 2 7.39 1.215869e+02 NA 228 27.8 3 99 1.17 97 0.1 4.863477e+03 1.276290e+05 1.9 1.7 0.889 15.3
Japan 2011 Developed 82.5 64 3 7.39 9.498729e+03 NA 434 27.4 4 96 1.70 97 0.1 4.816800e+04 1.278330e+05 1.9 1.6 0.884 15.1
Japan 2010 Developed 83.0 62 3 6.90 8.630061e+02 NA 450 26.9 4 98 9.58 97 0.1 4.457676e+03 1.287000e+03 1.9 1.6 0.879 15.1
Japan 2009 Developed 83.0 64 3 7.09 8.991785e+02 NA 741 26.4 4 99 9.51 97 0.1 4.855176e+03 1.284700e+04 1.8 1.6 0.881 15.0
Japan 2008 Developed 82.7 66 3 7.11 7.313175e+03 NA 11015 25.9 4 98 8.60 98 0.1 3.933930e+04 1.286300e+04 1.8 1.5 0.880 15.0
Japan 2007 Developed 82.6 67 3 7.29 6.599995e+03 NA 0 25.4 4 97 8.25 98 0.1 3.527523e+04 1.281000e+03 1.8 1.5 0.877 15.0
Japan 2006 Developed 82.4 68 3 7.49 6.502137e+03 NA 520 24.9 4 95 8.19 98 0.1 3.543399e+04 1.278540e+05 1.7 1.5 0.873 14.9
Japan 2005 Developed 82.0 69 3 7.99 6.799664e+03 NA 0 24.4 4 95 8.18 98 0.1 3.721765e+04 1.277730e+05 1.7 1.5 0.870 14.9
Japan 2004 Developed 82.1 68 3 7.70 6.746281e+03 NA 8752 23.8 4 97 8.30 99 0.1 3.768872e+04 1.277610e+05 1.7 1.4 0.866 14.8
Japan 2003 Developed 81.9 7 3 7.83 5.787254e+02 NA 8286 23.4 5 97 8.00 97 0.1 3.488399e+03 1.277180e+05 1.7 1.4 0.863 14.8
Japan 2002 Developed 81.8 7 3 7.87 5.250249e+03 NA 33812 22.9 5 89 7.85 96 0.1 3.228936e+04 1.274450e+05 1.7 1.4 0.860 14.7
Japan 2001 Developed 81.5 72 4 8.03 5.486512e+03 NA 22552 22.5 5 81 7.75 95 0.1 3.384647e+04 1.271490e+05 1.7 1.4 0.856 14.6
Japan 2000 Developed 81.1 74 4 7.97 5.926297e+03 NA 22497 22.2 5 98 7.53 85 0.1 3.853249e+04 1.268430e+05 1.6 1.4 0.852 14.5
Jordan 2015 Developing 74.1 112 4 NA 0.000000e+00 99 0 65.6 4 99 NA 99 0.1 4.969928e+02 9.159320e+05 4.0 4.0 0.741 13.1
Jordan 2014 Developing 74.0 113 4 0.41 6.387845e+01 98 20 64.8 4 98 7.45 98 0.1 4.669477e+02 8.893600e+04 3.9 3.9 0.737 13.1
Jordan 2013 Developing 73.9 114 4 0.40 5.466235e+02 98 120 64.0 4 98 7.23 98 0.1 3.992867e+03 8.413464e+06 3.9 3.9 0.737 13.1
Jordan 2012 Developing 73.7 115 4 0.41 6.770171e+01 98 3 63.2 4 98 8.00 98 0.1 3.877532e+02 7.992573e+06 3.9 3.9 0.735 12.9
Jordan 2011 Developing 73.6 116 4 0.43 6.886623e+01 98 0 62.4 4 98 8.39 98 0.1 3.873241e+02 7.574943e+06 3.8 3.9 0.737 13.1
Jordan 2010 Developing 73.4 117 4 0.51 7.159709e+02 98 0 61.7 4 98 8.42 98 0.1 3.679193e+03 7.182390e+05 3.8 3.8 0.739 13.2
Jordan 2009 Developing 73.3 118 4 0.59 6.687447e+02 98 0 6.9 4 98 9.54 98 0.1 3.492140e+03 6.821116e+06 3.8 3.8 0.742 13.6
Jordan 2008 Developing 73.1 119 4 0.61 5.352786e+02 97 2 6.1 4 98 8.78 97 0.1 3.385697e+03 6.489822e+06 3.8 3.8 0.739 13.6
Jordan 2007 Developing 73.0 12 4 0.60 3.732629e+02 98 41 59.3 4 98 8.35 98 0.1 2.762864e+03 6.193191e+06 3.8 3.8 0.736 13.6
Jordan 2006 Developing 72.8 121 4 0.59 3.133626e+02 98 1 58.6 4 98 8.80 98 0.1 2.537349e+03 5.934232e+06 3.9 3.8 0.733 13.7
Jordan 2005 Developing 72.4 127 4 0.55 2.744252e+01 95 28 57.8 4 95 8.88 95 0.1 2.238379e+02 5.714111e+06 3.9 3.8 0.730 13.8
Jordan 2004 Developing 72.5 125 4 0.54 3.252524e+01 95 21 57.0 4 95 9.50 95 0.1 2.614569e+02 5.535595e+06 3.9 3.8 0.723 13.5
Jordan 2003 Developing 72.3 127 4 0.54 2.287838e+02 97 76 56.3 4 97 9.15 97 0.1 1.889214e+03 5.396774e+06 3.9 3.9 0.717 13.2
Jordan 2002 Developing 72.1 129 4 0.54 2.591572e+02 95 19 55.5 4 95 9.68 95 0.1 1.812288e+03 5.287488e+06 3.9 3.9 0.712 13.0
Jordan 2001 Developing 71.9 131 4 0.55 2.486975e+02 97 61 54.8 4 97 9.90 99 0.1 1.728266e+03 5.193482e+06 4.0 3.9 0.706 12.7
Jordan 2000 Developing 71.7 133 4 0.49 2.272966e+02 93 32 54.0 4 94 9.65 91 0.1 1.657889e+03 5.131300e+04 4.0 4.0 0.700 12.6
Kazakhstan 2015 Developing 72.0 198 4 NA 0.000000e+00 98 526 53.1 5 98 NA 98 0.1 1.599817e+02 1.754413e+07 2.4 2.5 0.793 15.0
Kazakhstan 2014 Developing 69.9 22 5 6.29 2.444474e+01 95 321 52.3 5 95 4.36 95 0.1 1.286565e+03 1.728922e+07 2.4 2.5 0.789 15.0
Kazakhstan 2013 Developing 69.5 28 5 6.48 2.640727e+01 99 73 51.4 6 98 4.30 98 0.1 1.389856e+03 1.735275e+06 2.4 2.5 0.782 15.0
Kazakhstan 2012 Developing 69.1 214 6 6.82 2.353566e+02 95 55 5.6 7 98 4.32 99 0.1 1.238719e+04 1.679143e+07 2.4 2.5 0.774 14.7
Kazakhstan 2011 Developing 68.5 224 7 6.63 1.791701e+02 99 127 49.9 7 99 4.60 99 0.1 1.163442e+04 1.655660e+05 2.3 2.5 0.766 14.4
Kazakhstan 2010 Developing 67.8 236 7 6.83 1.115163e+01 99 4 49.2 8 98 4.42 99 0.1 9.764997e+01 1.632158e+07 2.3 2.5 0.763 14.5
Kazakhstan 2009 Developing 67.8 235 7 6.64 8.082433e+02 99 0 48.5 8 99 4.13 98 0.1 7.165278e+03 1.692710e+05 2.3 2.5 0.758 14.6
Kazakhstan 2008 Developing 66.6 258 8 7.60 7.083286e+02 99 20 47.9 9 99 3.65 99 0.1 8.513565e+03 1.567400e+04 2.4 2.5 0.758 14.6
Kazakhstan 2007 Developing 65.3 288 8 7.44 4.997304e+02 94 13 47.3 9 94 3.19 93 0.1 6.771415e+03 1.548419e+07 2.4 2.5 0.754 14.7
Kazakhstan 2006 Developing 65.0 295 8 7.08 7.619869e+01 99 109 46.8 9 99 3.73 99 0.1 5.291576e+03 1.538840e+05 2.4 2.5 0.747 14.3
Kazakhstan 2005 Developing 64.6 294 8 6.94 3.518603e+02 94 16118 46.3 9 99 4.70 98 0.1 3.771279e+03 1.514729e+06 2.4 2.5 0.737 13.9
Kazakhstan 2004 Developing 64.7 287 8 6.55 3.391660e+01 99 2204 45.8 9 99 3.95 82 0.1 2.874288e+03 1.512985e+06 2.5 2.6 0.725 13.5
Kazakhstan 2003 Developing 64.4 282 8 6.58 2.343401e+01 99 24 45.3 9 99 3.70 99 0.1 2.681237e+02 1.499180e+05 2.5 2.6 0.714 13.1
Kazakhstan 2002 Developing 64.7 276 8 5.99 1.451023e+02 95 18 44.8 9 95 3.61 95 0.1 1.658311e+03 1.485895e+07 2.6 2.6 0.700 12.7
Kazakhstan 2001 Developing 64.4 284 8 5.75 1.260884e+01 95 94 44.4 10 95 3.47 95 0.1 1.499268e+02 1.485834e+07 2.6 2.7 0.685 12.3
Kazakhstan 2000 Developing 63.9 292 9 6.00 1.125412e+02 99 245 43.9 10 96 4.16 97 0.1 1.229958e+03 1.488363e+07 2.7 2.7 0.676 12.1
Kenya 2015 Developing 63.4 249 54 NA 0.000000e+00 89 95 22.0 75 83 NA 89 2.8 1.349971e+03 4.723626e+07 7.8 7.6 0.550 11.1
Kenya 2014 Developing 62.9 255 56 0.01 1.709627e+02 92 354 21.3 79 93 5.72 92 2.9 1.335646e+03 4.624250e+05 7.8 7.7 0.546 11.1
Kenya 2013 Developing 62.6 258 58 1.84 1.659305e+02 93 190 2.7 81 94 5.57 87 3.0 1.229115e+03 4.482685e+07 7.9 7.7 0.541 11.1
Kenya 2012 Developing 62.1 263 59 1.81 1.542270e+02 94 0 2.1 84 94 5.49 94 3.0 1.155258e+03 4.364663e+07 8.0 7.8 0.536 11.1
Kenya 2011 Developing 61.2 278 60 1.80 1.097052e+02 96 2395 19.5 86 97 5.23 96 3.4 9.874454e+02 4.248684e+07 8.1 7.9 0.530 11.1
Kenya 2010 Developing 63.0 294 61 1.73 5.658984e+01 9 95 18.9 89 9 3.97 9 4.3 9.673477e+02 4.135152e+06 8.2 8.0 0.523 11.1
Kenya 2009 Developing 59.1 317 62 1.86 7.146851e+00 88 1218 18.4 91 89 4.17 88 5.0 9.281625e+01 4.237240e+05 8.2 8.1 0.514 10.7
Kenya 2008 Developing 57.9 339 64 1.71 6.051535e+01 88 1282 17.9 95 88 3.90 88 6.4 9.168993e+02 3.914842e+07 8.3 8.2 0.506 10.4
Kenya 2007 Developing 56.8 356 66 1.97 5.983361e+01 81 1516 17.3 100 76 4.80 81 9.1 8.391811e+02 3.885990e+05 8.4 8.3 0.494 10.1
Kenya 2006 Developing 55.3 388 68 1.76 5.260385e+01 8 1847 16.9 104 77 4.24 8 10.3 6.976639e+02 3.752500e+04 8.5 8.4 0.483 9.7
Kenya 2005 Developing 54.1 412 70 1.82 3.955678e+01 76 153 16.4 108 7 4.36 76 11.6 5.197999e+02 3.648288e+06 8.6 8.5 0.474 9.6
Kenya 2004 Developing 53.0 432 72 1.43 3.629775e+01 73 20 15.9 112 73 4.29 73 13.2 4.588844e+02 3.574931e+06 8.7 8.6 0.461 8.9
Kenya 2003 Developing 52.4 437 74 1.49 3.585205e+01 73 65 15.5 115 75 4.45 73 14.5 4.366875e+02 3.413852e+06 8.8 8.8 0.450 8.2
Kenya 2002 Developing 52.1 437 76 1.66 3.273674e+01 84 766 15.1 118 83 4.54 84 15.7 3.958494e+02 3.321490e+05 8.9 8.9 0.451 8.5
Kenya 2001 Developing 51.9 434 77 1.63 3.847603e+00 NA 11304 14.7 120 77 4.62 8 16.9 4.177636e+01 3.232148e+07 9.0 9.0 0.447 8.4
Kenya 2000 Developing 51.9 428 77 1.51 6.816856e-01 NA 21002 14.4 121 8 4.68 82 18.1 4.397971e+01 3.145483e+06 9.2 9.1 0.448 8.4
Kiribati 2015 Developing 66.3 198 0 NA 0.000000e+00 82 0 77.6 0 8 NA 78 0.1 1.424484e+03 1.124700e+04 0.1 0.1 0.586 11.9
Kiribati 2014 Developing 66.1 2 0 0.01 9.787193e+01 75 0 77.1 0 79 1.21 75 0.1 1.684543e+03 1.145800e+04 0.1 0.1 0.597 11.9
Kiribati 2013 Developing 65.8 22 0 0.01 1.372592e+02 95 0 76.7 0 91 1.15 95 0.1 1.724362e+03 1.853500e+04 0.1 0.1 0.589 11.9
Kiribati 2012 Developing 65.7 24 0 0.01 1.474550e+02 94 0 76.2 0 92 1.37 94 0.1 1.763815e+03 1.661300e+04 0.1 0.1 0.581 11.9
Kiribati 2011 Developing 65.5 26 0 0.53 3.046704e+01 95 0 75.7 0 95 1.42 99 0.1 1.692613e+03 1.465600e+04 0.1 0.1 0.585 11.9
Kiribati 2010 Developing 65.3 27 0 0.48 1.821661e+01 91 0 75.2 0 95 1.52 91 0.1 1.493165e+03 1.265200e+04 0.1 0.1 0.584 11.9
Kiribati 2009 Developing 65.2 28 0 0.54 1.622904e+02 86 0 74.6 0 84 12.24 86 0.1 1.297285e+03 1.568000e+03 0.1 0.1 0.576 11.9
Kiribati 2008 Developing 65.1 21 0 0.46 1.676202e+02 83 0 74.1 0 74 12.23 82 0.1 1.413323e+03 9.844000e+03 0.2 0.1 0.572 11.6
Kiribati 2007 Developing 65.0 211 0 0.68 1.887109e+02 96 0 73.4 0 93 13.66 94 0.1 1.357632e+03 9.631100e+04 0.2 0.1 0.574 11.8
Kiribati 2006 Developing 65.0 212 0 0.76 1.819458e+01 88 0 72.8 0 86 1.93 86 0.1 1.151556e+03 9.426000e+03 0.2 0.1 0.576 12.1
Kiribati 2005 Developing 64.9 213 0 0.60 1.117392e+02 5 0 72.1 0 74 1.60 79 0.1 1.214557e+03 9.232500e+04 0.2 0.2 0.000 12.2
Kiribati 2004 Developing 64.8 214 0 0.48 1.062427e+01 67 0 71.4 0 61 1.39 62 0.1 1.136286e+02 9.542000e+03 0.2 0.2 0.000 12.4
Kiribati 2003 Developing 64.7 215 0 0.50 1.765413e+00 73 0 7.6 0 79 9.98 7 0.1 1.153865e+02 8.889500e+04 0.2 0.2 0.000 11.6
Kiribati 2002 Developing 64.6 217 0 0.49 7.075572e+01 79 0 69.7 0 96 9.10 77 0.1 8.265855e+02 8.734300e+04 0.2 0.2 0.000 11.7
Kiribati 2001 Developing 64.3 219 0 0.60 5.997186e+01 85 0 68.8 0 88 9.00 85 0.1 7.349492e+02 8.585800e+04 0.2 0.2 0.000 10.4
Kiribati 2000 Developing 64.1 222 0 0.46 1.107543e+01 9 0 67.9 0 9 8.12 9 0.1 7.967938e+02 8.446000e+03 0.2 0.2 0.000 10.0
Kuwait 2015 Developing 74.7 81 0 NA 0.000000e+00 99 18 71.4 1 99 NA 99 0.1 2.897542e+04 NA 3.5 3.4 0.799 13.3
Kuwait 2014 Developing 74.6 82 0 0.01 2.480897e+03 96 55 7.8 1 94 3.40 95 0.1 4.299648e+04 NA 3.4 3.4 0.787 13.0
Kuwait 2013 Developing 74.5 83 1 0.01 2.792678e+03 99 62 7.2 1 99 2.56 99 0.1 4.839996e+04 NA 3.4 3.3 0.796 13.1
Kuwait 2012 Developing 74.3 84 1 0.01 2.957974e+03 98 27 69.5 1 98 2.57 98 0.1 5.126471e+04 NA 3.4 3.3 0.794 13.2
Kuwait 2011 Developing 74.2 85 1 0.02 2.785098e+03 99 32 69.0 1 99 2.62 99 0.1 4.826859e+04 NA 3.3 3.2 0.792 13.4
Kuwait 2010 Developing 74.0 86 1 0.01 2.009576e+03 99 13 68.4 1 98 2.76 98 0.1 3.849762e+04 NA 3.3 3.2 0.790 13.5
Kuwait 2009 Developing 73.9 87 1 0.10 3.001628e+03 99 0 67.9 1 99 3.87 99 0.1 3.756731e+04 NA 3.3 3.2 0.788 13.6
Kuwait 2008 Developing 73.8 88 1 0.03 2.078393e+03 99 0 67.5 1 99 1.93 99 0.1 5.557200e+04 NA 3.3 3.1 0.787 13.8
Kuwait 2007 Developing 73.7 89 1 0.03 2.555304e+03 99 0 67.1 1 99 2.13 99 0.1 4.579398e+04 NA 3.2 3.1 0.787 13.9
Kuwait 2006 Developing 73.6 89 1 0.01 2.443444e+03 99 0 66.7 1 99 2.25 99 0.1 4.271756e+04 NA 3.2 3.1 0.787 14.1
Kuwait 2005 Developing 73.6 9 0 0.01 2.395751e+02 99 10 66.3 1 99 2.38 99 0.1 3.549261e+03 NA 3.2 3.1 0.789 14.2
Kuwait 2004 Developing 73.5 91 0 0.02 1.731074e+03 94 23 65.9 1 98 2.76 98 0.1 2.692183e+04 NA 3.2 3.0 0.791 14.4
Kuwait 2003 Developing 73.4 93 0 0.03 1.590099e+02 99 0 65.5 1 99 3.23 99 0.1 2.271570e+03 NA 3.2 3.0 0.788 14.1
Kuwait 2002 Developing 73.3 94 0 0.01 1.209681e+03 99 0 65.0 1 99 3.56 99 0.1 1.778942e+04 NA 3.2 3.0 0.785 13.9
Kuwait 2001 Developing 73.2 95 0 0.01 1.131998e+02 99 0 64.5 1 99 3.61 99 0.1 1.654968e+03 NA 3.2 3.0 0.786 14.0
Kuwait 2000 Developing 73.2 96 0 0.01 9.599259e+02 95 6 64.0 1 94 2.51 98 0.1 1.838938e+04 NA 3.2 3.1 0.786 14.1
Kyrgyzstan 2015 Developing 71.1 166 3 NA 0.000000e+00 97 17779 44.9 3 97 NA 97 0.1 NA NA 3.3 3.4 0.662 13.0
Kyrgyzstan 2014 Developing 78.0 17 3 0.01 0.000000e+00 96 318 43.9 4 95 6.48 96 0.1 NA NA 3.3 3.4 0.656 12.8
Kyrgyzstan 2013 Developing 77.0 174 3 0.01 0.000000e+00 97 1 43.0 4 97 6.68 97 0.1 NA NA 3.3 3.3 0.647 12.5
Kyrgyzstan 2012 Developing 69.9 18 3 0.01 0.000000e+00 96 0 42.2 4 94 6.97 96 0.1 NA NA 3.2 3.3 0.638 12.3
Kyrgyzstan 2011 Developing 69.4 188 4 3.28 0.000000e+00 96 222 41.4 4 94 6.18 96 0.2 NA NA 3.2 3.3 0.632 12.1
Kyrgyzstan 2010 Developing 68.8 199 4 2.73 0.000000e+00 96 0 4.7 4 88 6.66 96 0.1 NA NA 3.2 3.3 0.631 12.2
Kyrgyzstan 2009 Developing 68.5 21 4 2.39 0.000000e+00 96 1 4.1 4 96 6.79 95 0.1 NA NA 3.3 3.4 0.629 12.4
Kyrgyzstan 2008 Developing 67.6 217 4 2.53 0.000000e+00 97 16 39.5 4 95 6.70 95 0.2 NA NA 3.3 3.4 0.624 12.6
Kyrgyzstan 2007 Developing 67.2 229 4 2.77 0.000000e+00 94 40 39.0 4 94 6.87 94 0.1 NA NA 3.3 3.4 0.618 12.6
Kyrgyzstan 2006 Developing 66.7 234 4 2.48 0.000000e+00 9 27 38.5 4 93 6.73 92 0.1 NA NA 3.3 3.4 0.613 12.5
Kyrgyzstan 2005 Developing 66.9 224 4 2.81 0.000000e+00 97 53 38.0 4 98 5.82 98 0.1 NA NA 3.4 3.4 0.612 12.4
Kyrgyzstan 2004 Developing 67.1 218 4 3.41 0.000000e+00 99 8 37.5 4 98 5.57 99 0.1 NA NA 3.4 3.4 0.609 12.5
Kyrgyzstan 2003 Developing 66.6 217 4 3.52 0.000000e+00 99 6 37.0 4 98 5.43 98 0.1 NA NA 3.5 3.5 0.602 12.2
Kyrgyzstan 2002 Developing 66.7 215 4 3.31 0.000000e+00 99 2 36.5 5 99 5.43 98 0.1 NA NA 3.5 3.5 0.601 12.1
Kyrgyzstan 2001 Developing 67.2 217 4 2.62 0.000000e+00 57 17 36.0 5 99 4.79 99 0.1 NA NA 3.6 3.6 0.593 11.8
Kyrgyzstan 2000 Developing 66.6 225 4 2.13 0.000000e+00 44 16 35.6 5 99 4.68 99 0.1 NA NA 3.6 3.6 0.586 11.4
Lao People’s Democratic Republic 2015 Developing 65.7 194 8 NA 0.000000e+00 89 56 21.7 11 89 NA 89 0.2 NA NA 8.8 8.9 0.582 10.8
Lao People’s Democratic Republic 2014 Developing 65.3 199 8 0.01 0.000000e+00 88 339 2.9 11 88 1.87 88 0.2 NA NA 8.9 9.0 0.573 10.6
Lao People’s Democratic Republic 2013 Developing 64.9 23 9 0.01 0.000000e+00 87 71 2.1 12 86 2.00 87 0.3 NA NA 9.0 9.1 0.563 10.4
Lao People’s Democratic Republic 2012 Developing 64.4 28 9 0.01 0.000000e+00 79 32 19.4 12 78 2.12 79 0.3 NA NA 9.1 9.2 0.554 10.2
Lao People’s Democratic Republic 2011 Developing 64.0 213 9 5.39 0.000000e+00 78 113 18.7 13 79 2.20 78 0.3 NA NA 9.2 9.4 0.542 9.9
Lao People’s Democratic Republic 2010 Developing 63.6 218 10 5.95 0.000000e+00 74 153 18.0 13 76 2.75 74 0.3 NA NA 9.3 9.5 0.535 9.6
Lao People’s Democratic Republic 2009 Developing 63.1 223 10 5.18 0.000000e+00 67 78 17.3 14 67 3.77 67 0.2 NA NA 9.4 9.6 0.525 9.4
Lao People’s Democratic Republic 2008 Developing 62.6 228 10 5.10 0.000000e+00 61 174 16.7 14 6 2.77 61 0.2 NA NA 9.6 9.7 0.518 9.2
Lao People’s Democratic Republic 2007 Developing 62.1 234 11 5.00 0.000000e+00 5 1678 16.1 15 46 4.14 5 0.2 NA NA 9.7 9.8 0.509 9.0
Lao People’s Democratic Republic 2006 Developing 61.5 24 11 3.69 0.000000e+00 57 58 15.5 15 56 4.14 57 0.2 NA NA 9.9 9.9 0.503 9.0
Lao People’s Democratic Republic 2005 Developing 61.0 246 11 3.68 0.000000e+00 49 295 14.9 16 5 4.32 49 0.2 NA NA 1.0 1.1 0.494 8.7
Lao People’s Democratic Republic 2004 Developing 64.0 252 12 3.53 0.000000e+00 45 1491 14.4 16 46 4.54 45 0.2 NA NA 1.1 1.2 0.485 8.6
Lao People’s Democratic Republic 2003 Developing 59.8 259 12 3.41 0.000000e+00 5 1810 13.8 17 52 4.91 49 0.1 NA NA 1.2 1.3 0.477 8.3
Lao People’s Democratic Republic 2002 Developing 59.3 265 13 3.33 0.000000e+00 NA 2070 13.3 18 55 4.40 53 0.1 NA NA 1.3 1.4 0.468 8.0
Lao People’s Democratic Republic 2001 Developing 58.7 271 13 3.13 0.000000e+00 NA 94 12.7 19 55 4.32 52 0.1 NA NA 1.4 1.5 0.463 8.0
Lao People’s Democratic Republic 2000 Developing 58.1 278 14 5.16 0.000000e+00 NA 332 12.3 20 57 3.41 51 0.1 NA NA 1.5 1.5 0.459 8.0
Latvia 2015 Developed 74.6 153 0 NA 0.000000e+00 94 0 61.2 0 95 NA 95 0.1 1.366658e+04 1.977527e+06 2.2 2.1 0.828 16.0
Latvia 2014 Developed 74.4 156 0 0.01 1.542636e+03 92 36 6.7 0 92 5.88 92 0.1 1.572514e+04 1.993782e+06 2.2 2.2 0.822 16.0
Latvia 2013 Developed 74.1 161 0 10.37 1.503117e+02 94 0 6.2 0 94 5.67 94 0.1 1.532229e+03 2.126470e+05 2.2 2.2 0.814 15.4
Latvia 2012 Developed 73.8 163 0 10.21 1.356022e+03 9 3 59.8 0 91 5.91 91 0.1 1.382286e+04 2.343190e+05 2.2 2.2 0.812 15.5
Latvia 2011 Developed 73.6 169 0 10.14 2.470841e+01 89 1 59.4 0 92 6.10 92 0.1 1.372689e+03 2.597900e+04 2.2 2.3 0.810 15.8
Latvia 2010 Developed 72.8 18 0 9.80 1.109970e+03 91 0 58.9 0 92 6.55 92 0.1 1.132622e+04 2.975550e+05 2.2 2.3 0.815 16.0
Latvia 2009 Developed 72.6 184 0 9.85 1.137624e+03 92 0 58.5 0 94 6.84 94 0.1 1.221937e+04 2.141669e+06 2.3 2.3 0.821 16.4
Latvia 2008 Developed 71.9 199 0 11.84 2.534022e+02 93 3 58.1 0 94 6.63 94 0.1 1.634853e+04 2.177322e+06 2.3 2.4 0.819 16.3
Latvia 2007 Developed 78.0 221 0 12.12 1.709884e+02 91 0 57.7 0 94 7.10 94 0.1 1.444159e+03 2.232500e+04 2.4 2.4 0.814 16.2
Latvia 2006 Developed 75.0 229 0 10.40 1.099249e+03 94 7 57.4 0 96 6.80 96 0.1 9.667976e+03 2.218357e+06 2.4 2.5 0.807 16.2
Latvia 2005 Developed 76.0 216 0 9.92 8.692554e+01 99 2 57.0 0 99 6.37 99 0.1 7.558743e+03 2.238799e+06 2.5 2.5 0.791 15.9
Latvia 2004 Developed 71.0 26 0 8.81 8.003284e+01 98 0 56.6 0 99 6.51 99 0.1 6.351813e+03 2.263122e+06 2.5 2.6 0.776 15.5
Latvia 2003 Developed 78.0 29 0 8.24 4.780645e+02 98 0 56.3 0 98 6.15 98 0.1 5.134957e+03 2.287955e+06 2.6 2.6 0.761 15.2
Latvia 2002 Developed 73.0 219 0 7.44 3.764570e+02 98 0 56.0 0 98 6.29 97 0.1 4.132349e+03 2.311730e+05 2.7 2.7 0.746 14.8
Latvia 2001 Developed 69.9 228 0 6.68 3.322752e+02 96 1 55.7 0 97 6.17 97 0.1 3.572851e+03 2.337170e+05 2.8 2.8 0.728 14.2
Latvia 2000 Developed 71.0 218 0 7.13 2.910171e+02 95 0 55.4 0 96 6.00 96 0.1 3.352731e+03 2.367550e+05 2.8 2.8 0.716 13.7
Lebanon 2015 Developing 74.9 98 1 NA 0.000000e+00 81 39 66.1 1 75 NA 81 0.1 8.466329e+02 5.851479e+06 4.9 4.9 0.763 13.3
Lebanon 2014 Developing 74.8 99 1 1.32 1.403771e+02 81 112 65.4 1 75 6.39 81 0.1 8.161461e+03 5.632790e+05 4.8 4.9 0.763 13.3
Lebanon 2013 Developing 74.9 97 1 1.29 1.455610e+01 81 1761 64.9 1 75 6.63 81 0.1 8.462852e+02 5.276120e+05 4.8 4.8 0.766 13.3
Lebanon 2012 Developing 75.0 93 1 1.53 1.511527e+02 81 9 64.4 1 75 6.99 81 0.1 8.787947e+03 4.916440e+05 4.8 4.8 0.763 13.3
Lebanon 2011 Developing 75.0 93 1 1.57 8.350627e+02 81 9 64.0 1 75 7.12 81 0.1 8.734965e+03 4.588368e+06 4.7 4.7 0.758 13.2
Lebanon 2010 Developing 74.9 94 1 1.58 8.053956e+02 81 12 63.5 1 75 7.19 81 0.1 8.763826e+03 4.337141e+06 4.7 4.7 0.752 13.3
Lebanon 2009 Developing 74.7 95 1 1.62 8.140374e+00 81 22 63.0 1 75 7.42 81 0.1 8.426888e+01 4.183156e+06 4.7 4.7 0.746 13.2
Lebanon 2008 Developing 74.5 98 1 1.67 6.913925e+01 81 24 62.5 1 75 8.70 81 0.1 7.127758e+02 4.111470e+05 4.7 4.7 0.740 13.1
Lebanon 2007 Developing 74.4 98 1 1.72 8.906931e+00 8 373 61.9 1 75 8.90 8 0.1 6.142711e+02 4.864660e+05 4.7 4.6 0.731 12.9
Lebanon 2006 Developing 74.1 1 1 1.82 5.345796e+02 78 956 61.4 1 75 8.83 78 0.1 5.372659e+03 4.573500e+04 4.7 4.6 0.733 13.2
Lebanon 2005 Developing 73.9 11 1 1.94 6.300541e+02 77 618 6.8 1 74 8.42 77 0.1 5.339441e+03 3.986852e+06 4.7 4.6 0.000 13.7
Lebanon 2004 Developing 73.7 13 1 2.10 6.183615e+02 75 213 6.2 1 74 8.91 75 0.1 5.424224e+03 3.863267e+06 4.7 4.6 0.000 14.2
Lebanon 2003 Developing 73.5 15 1 2.19 5.279177e+02 74 526 59.7 1 74 9.30 74 0.1 5.425670e+03 3.714640e+05 4.8 4.7 0.000 14.8
Lebanon 2002 Developing 73.2 17 1 1.98 7.013208e+01 77 36 59.1 1 77 1.50 77 0.1 5.436595e+03 3.522837e+06 4.8 4.7 0.000 15.2
Lebanon 2001 Developing 73.0 11 1 2.19 5.106035e+02 8 8 58.6 1 8 1.90 8 0.1 5.253123e+03 3.359859e+06 4.9 4.7 0.000 15.0
Lebanon 2000 Developing 72.7 112 1 2.26 4.043879e+02 83 5 57.9 1 83 1.86 83 0.1 5.334933e+03 3.235366e+06 4.9 4.8 0.000 14.9
Lesotho 2015 Developing 53.7 484 4 NA 0.000000e+00 93 0 32.6 6 9 NA 93 9.3 1.738289e+02 2.174645e+06 5.5 5.3 0.495 10.7
Lesotho 2014 Developing 52.1 522 4 0.01 1.621278e+02 93 0 32.0 6 9 1.62 93 9.4 1.174839e+03 2.145785e+06 5.8 5.6 0.491 10.8
Lesotho 2013 Developing 52.1 518 4 0.01 1.533443e+02 93 516 31.4 6 9 11.70 93 9.6 1.196133e+03 2.117361e+06 6.1 5.9 0.484 11.1
Lesotho 2012 Developing 52.2 513 4 0.01 1.681349e+02 95 179 3.8 6 93 11.14 95 9.0 1.281516e+03 2.899280e+05 6.4 6.2 0.479 11.0
Lesotho 2011 Developing 52.3 52 4 2.39 1.958253e+02 96 172 3.2 6 95 11.79 96 10.5 1.352384e+03 2.641660e+05 6.8 6.6 0.469 11.0
Lesotho 2010 Developing 51.1 527 4 2.71 1.548706e+02 93 2488 29.7 6 92 1.87 93 13.4 1.173262e+03 2.455100e+04 7.2 7.0 0.464 10.9
Lesotho 2009 Developing 49.4 566 4 2.75 1.043145e+02 91 0 29.2 6 89 9.80 91 18.2 9.231369e+02 2.192900e+04 7.6 7.4 0.453 10.8
Lesotho 2008 Developing 47.8 592 5 2.75 9.185433e+01 88 0 28.8 6 86 8.85 88 27.3 9.344286e+02 1.999930e+05 8.0 7.8 0.447 10.7
Lesotho 2007 Developing 46.2 633 4 2.69 9.184327e+00 9 2 28.3 6 87 8.47 88 30.0 9.184327e+02 1.982287e+06 8.4 8.3 0.440 10.6
Lesotho 2006 Developing 45.3 654 5 2.61 7.115578e+01 91 1 27.9 6 88 7.12 89 34.1 9.157758e+02 1.965662e+06 8.8 8.7 0.437 10.7
Lesotho 2005 Developing 44.5 675 5 2.67 5.790370e+01 87 0 27.4 6 88 6.30 89 34.8 8.629463e+02 1.949543e+06 9.3 9.2 0.437 10.7
Lesotho 2004 Developing 44.8 666 5 1.80 6.791362e+01 6 31 26.9 7 89 6.96 9 34.6 7.815146e+02 1.933728e+06 9.7 9.7 0.439 10.7
Lesotho 2003 Developing 45.5 648 5 1.99 5.300902e+00 17 1 26.4 7 9 7.13 9 33.8 6.363628e+01 1.918970e+05 1.2 1.1 0.440 10.5
Lesotho 2002 Developing 46.4 622 5 2.95 3.534574e+00 NA 0 25.9 7 84 6.91 84 32.5 4.789395e+01 1.923120e+05 1.6 1.6 0.446 10.4
Lesotho 2001 Developing 47.8 586 5 2.86 3.857187e+01 NA 217 25.4 7 78 7.53 78 31.2 4.378192e+02 1.885955e+06 11.1 11.1 0.443 10.3
Lesotho 2000 Developing 49.3 543 5 3.10 2.986616e+01 NA 660 24.9 7 82 6.92 83 29.8 4.748198e+02 1.868699e+06 11.5 11.6 0.445 9.6
Liberia 2015 Developing 61.4 259 8 NA 0.000000e+00 52 1060 27.3 11 52 NA 52 0.9 4.523872e+02 4.499621e+06 6.5 6.4 0.427 9.9
Liberia 2014 Developing 58.1 329 8 0.01 5.437397e+01 5 34 26.7 11 49 1.40 5 0.9 4.584652e+02 4.397370e+05 6.7 6.5 0.426 9.9
Liberia 2013 Developing 61.1 258 9 0.01 4.504892e+01 76 0 26.1 11 75 9.25 76 1.1 4.541222e+02 4.286291e+06 6.8 6.7 0.419 9.8
Liberia 2012 Developing 67.0 261 9 0.01 4.809891e+01 8 43 25.6 12 8 1.19 8 1.2 4.153620e+02 4.181563e+06 7.0 6.9 0.416 9.6
Liberia 2011 Developing 62.0 266 9 3.72 6.044658e+01 77 279 25.0 12 77 11.23 77 1.5 3.796896e+02 4.716700e+04 7.2 7.0 0.406 9.5
Liberia 2010 Developing 59.7 272 9 3.64 4.191052e+01 47 2200 24.5 13 71 11.87 7 1.8 3.274260e+02 3.948125e+06 7.4 7.2 0.403 9.6
Liberia 2009 Developing 59.2 277 10 3.75 5.592170e+00 64 6 24.0 13 84 14.39 81 2.1 3.366749e+01 3.811528e+06 7.6 7.4 0.400 9.7
Liberia 2008 Developing 58.6 281 10 3.88 4.003344e+01 64 1 23.4 14 79 11.83 75 2.4 2.326173e+02 3.662993e+06 7.7 7.6 0.394 9.8
Liberia 2007 Developing 57.9 286 10 4.03 3.686899e+00 NA 1 22.9 14 67 1.24 65 2.8 2.137333e+01 3.512932e+06 7.9 7.8 0.383 9.9
Liberia 2006 Developing 56.7 32 11 4.05 1.579934e+01 NA 20 22.4 15 66 1.90 6 3.0 1.789280e+02 3.375838e+06 8.1 8.1 0.377 10.0
Liberia 2005 Developing 55.3 316 12 4.19 2.239649e+01 NA 8 22.0 16 66 8.40 6 3.1 1.686483e+02 3.261230e+05 8.3 8.3 0.372 10.1
Liberia 2004 Developing 54.0 329 12 4.24 1.785871e+01 NA 4 21.5 17 47 8.77 31 3.2 1.494453e+02 3.176414e+06 8.5 8.5 0.335 10.2
Liberia 2003 Developing 50.0 42 13 4.21 9.758449e+00 NA 142 21.1 18 49 3.44 35 3.2 1.334945e+02 3.116233e+06 8.7 8.7 0.373 10.3
Liberia 2002 Developing 56.0 371 13 4.27 1.042437e+01 NA 131 2.7 19 51 5.43 39 3.1 1.772852e+02 3.628630e+05 8.8 8.9 0.376 10.4
Liberia 2001 Developing 51.5 333 14 4.40 1.672143e+01 NA 1379 2.4 20 54 6.41 42 3.1 1.741815e+02 2.991132e+06 9.0 9.0 0.386 10.5
Liberia 2000 Developing 51.9 39 14 4.46 1.219710e+01 NA 5977 2.2 20 56 5.91 46 3.1 1.834150e+02 2.884522e+06 9.2 9.2 0.338 8.7
Libya 2015 Developing 72.7 138 1 NA 0.000000e+00 97 82 64.8 2 97 NA 97 0.1 NA NA 5.8 5.5 0.719 13.4
Libya 2014 Developing 72.4 143 2 0.01 0.000000e+00 94 372 63.8 2 94 4.97 94 0.1 NA NA 5.7 5.5 0.730 13.4
Libya 2013 Developing 72.9 134 2 0.01 0.000000e+00 96 0 62.8 2 96 4.33 96 0.1 NA NA 5.7 5.5 0.735 13.4
Libya 2012 Developing 72.9 133 2 0.01 0.000000e+00 98 320 61.8 2 98 4.30 98 0.1 NA NA 5.6 5.4 0.706 13.7
Libya 2011 Developing 71.3 161 2 0.01 3.611567e+01 98 0 6.9 2 98 4.77 98 0.1 5.625494e+02 NA 5.6 5.4 0.756 14.0
Libya 2010 Developing 72.8 132 2 0.01 5.250394e+01 98 0 59.9 2 98 3.50 98 0.1 1.212562e+03 NA 5.6 5.4 0.755 14.3
Libya 2009 Developing 72.7 132 2 0.01 6.355170e+01 98 329 59.0 2 98 3.16 98 0.1 1.296974e+03 NA 5.6 5.4 0.757 14.6
Libya 2008 Developing 72.6 132 2 0.01 5.326700e+02 98 8 58.2 2 98 2.40 98 0.1 1.439649e+04 NA 5.5 5.4 0.757 14.8
Libya 2007 Developing 72.5 132 2 0.01 5.487891e+01 98 59 57.4 3 98 2.63 98 0.1 1.138567e+03 NA 5.5 5.4 0.756 15.1
Libya 2006 Developing 72.2 134 2 0.01 4.934153e+02 98 1 56.7 3 98 2.51 98 0.1 9.344988e+03 NA 5.5 5.4 0.752 15.4
Libya 2005 Developing 71.9 138 2 0.01 4.723047e+02 97 292 56.0 3 98 2.71 98 0.1 8.171362e+03 NA 5.5 5.4 0.748 15.7
Libya 2004 Developing 71.5 141 2 0.01 3.180653e+01 99 2771 55.3 3 97 3.46 97 0.1 5.868364e+02 NA 5.5 5.4 0.747 15.9
Libya 2003 Developing 71.3 144 3 0.01 2.951167e+02 96 0 54.6 3 95 4.60 95 0.1 4.676968e+03 NA 5.6 5.4 0.740 16.0
Libya 2002 Developing 71.1 146 3 0.01 2.913435e+01 91 3890 54.0 3 93 4.57 93 0.1 3.754426e+02 NA 5.6 5.4 0.736 15.8
Libya 2001 Developing 71.0 147 3 0.01 3.623818e+02 93 633 53.4 3 94 4.60 94 0.1 6.269581e+03 NA 5.6 5.5 0.732 15.7
Libya 2000 Developing 78.0 148 3 0.01 4.573202e+02 92 0 52.8 3 94 3.41 94 0.1 7.145628e+03 NA 5.7 5.5 0.727 15.5
Lithuania 2015 Developed 73.6 165 0 NA 0.000000e+00 94 50 62.4 0 93 NA 93 0.1 1.425243e+04 2.949100e+04 2.6 2.6 0.846 16.5
Lithuania 2014 Developed 73.4 169 0 15.19 2.211744e+03 94 11 61.9 0 93 6.55 93 0.1 1.655497e+04 2.932367e+06 2.6 2.7 0.841 16.5
Lithuania 2013 Developed 73.0 178 0 15.04 1.968817e+03 93 35 61.4 0 93 6.59 93 0.1 1.571282e+04 2.957689e+06 2.7 2.7 0.834 16.4
Lithuania 2012 Developed 73.0 176 0 15.14 1.807071e+03 93 0 6.9 0 93 6.67 93 0.1 1.434184e+04 2.987773e+06 2.7 2.7 0.830 16.5
Lithuania 2011 Developed 72.8 18 0 12.66 1.758823e+03 95 7 6.5 0 92 6.86 92 0.1 1.435774e+04 3.281150e+05 2.7 2.8 0.826 16.7
Lithuania 2010 Developed 72.4 188 0 12.90 1.423802e+03 94 2 6.0 0 95 7.90 95 0.1 1.198487e+04 3.972820e+05 2.8 2.8 0.824 16.8
Lithuania 2009 Developed 72.2 192 0 12.40 1.446529e+03 95 0 59.7 0 98 7.53 98 0.1 1.183739e+04 3.162916e+06 2.8 2.9 0.825 16.6
Lithuania 2008 Developed 71.1 224 0 13.30 1.888150e+03 96 1 59.3 0 96 6.61 96 0.1 1.496157e+04 3.198231e+06 2.9 2.9 0.820 16.5
Lithuania 2007 Developed 72.0 24 0 13.40 1.581512e+03 96 0 59.0 0 95 6.22 95 0.1 1.229792e+04 3.231294e+06 2.9 3.0 0.812 16.4
Lithuania 2006 Developed 76.0 229 0 12.70 1.165050e+02 95 1 58.7 0 94 6.20 94 0.1 9.246425e+02 3.269990e+05 3.0 3.0 0.807 16.4
Lithuania 2005 Developed 78.0 222 0 12.30 9.136995e+02 95 1 58.4 0 93 5.83 94 0.1 7.863163e+03 3.322528e+06 3.0 3.1 0.798 16.2
Lithuania 2004 Developed 71.6 24 0 12.10 7.636188e+01 94 1 58.1 0 9 5.67 94 0.1 6.769670e+02 3.377750e+05 3.1 3.1 0.792 16.3
Lithuania 2003 Developed 71.6 22 0 11.29 8.099710e+01 95 1 57.8 0 91 6.46 94 0.1 5.555357e+02 3.415213e+06 3.2 3.2 0.780 15.8
Lithuania 2002 Developed 71.4 22 0 11.00 5.619169e+02 94 103 57.5 0 97 6.40 95 0.1 4.146988e+03 3.443670e+05 3.3 3.3 0.770 15.3
Lithuania 2001 Developed 71.2 21 0 10.20 4.287209e+01 95 7 57.2 0 97 6.26 95 0.1 3.531473e+02 3.478180e+05 3.3 3.3 0.757 14.7
Lithuania 2000 Developed 71.6 2 0 9.87 3.732606e+02 98 19 56.9 0 92 6.46 94 0.1 3.297355e+03 3.499536e+06 3.4 3.4 0.745 14.0
Luxembourg 2015 Developed 82.0 63 0 NA 0.000000e+00 94 0 61.3 0 99 NA 99 0.1 1.199822e+03 5.696400e+04 1.0 0.9 0.896 13.9
Luxembourg 2014 Developed 81.7 65 0 11.12 1.625516e+04 94 0 6.9 0 99 6.94 99 0.1 1.191727e+05 5.563190e+05 1.0 0.9 0.892 13.9
Luxembourg 2013 Developed 81.4 68 0 11.02 1.551575e+04 94 0 6.5 0 99 7.10 99 0.1 1.137519e+05 5.433600e+04 0.9 0.9 0.892 13.9
Luxembourg 2012 Developed 81.1 7 0 11.34 2.284582e+03 94 2 6.1 0 99 7.18 99 0.1 1.674914e+04 5.394600e+04 0.9 0.9 0.892 13.9
Luxembourg 2011 Developed 88.0 72 0 11.50 1.702853e+04 95 6 59.6 0 96 7.34 99 0.1 1.157616e+05 5.183470e+05 0.9 0.9 0.894 13.9
Luxembourg 2010 Developed 86.0 73 0 11.36 2.267252e+03 94 0 59.2 0 96 7.68 99 0.1 1.496536e+04 5.695300e+04 0.9 0.9 0.884 13.7
Luxembourg 2009 Developed 83.0 76 0 11.42 2.052393e+03 95 0 58.8 0 96 8.11 99 0.1 1.319867e+04 4.977830e+05 0.9 0.9 0.888 13.5
Luxembourg 2008 Developed 80.0 8 0 11.53 1.896135e+04 94 1 58.4 0 96 7.34 99 0.1 1.142938e+05 4.886500e+04 0.9 0.9 0.887 13.5
Luxembourg 2007 Developed 79.7 82 0 11.75 2.670513e+02 87 0 57.9 0 96 6.80 99 0.1 1.618493e+03 4.799930e+05 0.9 0.9 0.877 13.5
Luxembourg 2006 Developed 79.4 85 0 11.98 1.534549e+04 95 8 57.5 0 99 7.75 99 0.1 8.973971e+04 4.726370e+05 0.9 0.9 0.880 13.5
Luxembourg 2005 Developed 78.8 9 0 11.84 1.346247e+03 95 0 57.0 0 99 7.95 99 0.1 8.289696e+03 4.651580e+05 1.0 0.9 0.874 13.5
Luxembourg 2004 Developed 78.7 92 0 12.42 1.237205e+04 94 0 56.4 0 99 8.20 99 0.1 7.571635e+04 4.589500e+04 1.0 0.9 0.867 13.5
Luxembourg 2003 Developed 78.6 92 0 12.61 1.011139e+04 95 1 55.8 0 99 7.67 98 0.1 6.544589e+04 4.516300e+04 1.0 0.9 0.865 13.6
Luxembourg 2002 Developed 78.3 95 0 12.91 9.105063e+02 95 0 55.2 0 99 8.27 99 0.1 5.293641e+03 4.461750e+05 1.0 0.9 0.860 13.5
Luxembourg 2001 Developed 78.0 96 0 12.89 7.877337e+03 86 0 54.6 0 99 7.40 99 0.1 4.817943e+04 4.415250e+05 1.0 1.0 0.854 13.4
Luxembourg 2000 Developed 77.8 98 0 13.14 8.246130e+03 77 0 54.0 0 99 7.48 99 0.1 4.873600e+04 4.363000e+03 1.0 1.0 0.848 13.5
Madagascar 2015 Developing 65.5 22 28 NA 0.000000e+00 69 3 2.5 38 71 NA 69 0.3 4.185760e+01 2.423488e+06 7.1 7.1 0.511 10.3
Madagascar 2014 Developing 65.1 225 29 0.01 5.339066e+00 73 3 2.0 39 73 3.40 73 0.3 4.524632e+02 2.358981e+06 7.2 7.1 0.509 10.3
Madagascar 2013 Developing 64.7 23 29 0.87 7.950882e+01 74 6 19.5 40 73 4.15 74 0.4 4.617237e+02 2.296115e+07 7.3 7.2 0.508 10.3
Madagascar 2012 Developing 64.3 235 30 0.87 5.997914e+01 7 2 19.0 42 71 3.46 7 0.4 4.439611e+02 2.234657e+07 7.4 7.3 0.506 10.2
Madagascar 2011 Developing 63.8 241 31 0.97 7.879967e+01 73 0 18.5 43 73 4.24 73 0.4 4.549635e+02 2.174395e+07 7.5 7.4 0.504 10.2
Madagascar 2010 Developing 63.3 248 32 1.03 7.660442e+01 7 1 18.0 45 7 4.86 7 0.5 4.127393e+02 2.115164e+06 7.6 7.5 0.503 10.2
Madagascar 2009 Developing 62.8 254 33 0.91 7.116601e+01 77 0 17.6 47 76 4.70 77 0.5 4.156893e+02 2.569121e+06 7.7 7.6 0.500 9.7
Madagascar 2008 Developing 62.3 259 34 0.68 6.448763e+00 77 3 17.1 49 77 4.50 77 0.5 4.773325e+01 1.999647e+07 7.8 7.7 0.491 9.4
Madagascar 2007 Developing 61.9 261 35 0.71 5.543034e+01 84 0 16.7 51 83 4.98 84 0.6 3.778483e+02 1.943352e+07 7.9 7.8 0.483 9.1
Madagascar 2006 Developing 61.4 263 36 0.68 3.841870e+01 82 2 16.3 54 83 5.11 85 0.6 2.921574e+02 1.888268e+06 8.0 7.9 0.478 9.0
Madagascar 2005 Developing 69.0 265 37 0.72 3.374786e+01 81 0 15.8 56 8 5.30 85 0.6 2.748197e+02 1.833672e+07 8.1 8.0 0.473 8.9
Madagascar 2004 Developing 64.0 267 38 0.81 2.372796e+01 71 35558 15.4 58 74 4.89 78 0.6 2.451236e+02 1.782997e+06 8.2 8.1 0.466 8.7
Madagascar 2003 Developing 59.9 268 40 0.93 3.712895e+01 61 62233 15.0 60 65 4.81 66 0.7 3.167999e+02 1.727914e+07 8.3 8.3 0.457 8.5
Madagascar 2002 Developing 59.3 271 41 0.90 4.752621e+01 51 10795 14.7 63 61 5.29 62 0.7 2.622859e+02 1.676512e+07 8.5 8.4 0.462 8.3
Madagascar 2001 Developing 58.7 276 42 1.05 4.256332e+01 NA 9357 14.3 65 6 5.17 6 0.7 2.785557e+02 1.626932e+06 8.6 8.5 0.456 8.2
Madagascar 2000 Developing 57.9 283 44 1.16 3.566125e+01 NA 35256 13.9 68 58 5.80 57 0.6 2.459397e+02 1.576686e+06 8.7 8.6 0.000 8.0
Malawi 2015 Developing 58.3 365 26 NA 0.000000e+00 88 0 19.6 38 88 NA 88 4.8 3.626575e+02 1.757367e+06 6.4 6.2 0.473 10.8
Malawi 2014 Developing 57.6 377 27 0.01 5.948745e+01 91 3 19.2 40 87 11.38 91 5.1 3.547254e+02 1.768838e+06 6.5 6.3 0.466 10.7
Malawi 2013 Developing 56.7 394 29 0.01 5.583108e+01 89 1 18.8 42 89 1.96 89 6.3 3.329223e+02 1.657715e+07 6.5 6.4 0.459 10.7
Malawi 2012 Developing 55.3 42 31 0.01 8.276866e+01 96 11 18.4 46 95 12.60 96 8.3 3.745188e+02 1.697350e+05 6.6 6.5 0.454 10.7
Malawi 2011 Developing 54.1 441 32 1.23 1.377617e+01 97 26 18.0 50 97 11.67 97 11.2 5.121255e+02 1.562762e+07 6.7 6.6 0.444 10.6
Malawi 2010 Developing 52.9 462 35 1.08 9.728005e+00 93 118712 17.6 54 86 1.50 93 13.7 4.588682e+02 1.516795e+06 6.8 6.7 0.430 10.2
Malawi 2009 Developing 51.5 491 36 1.16 7.915071e+00 93 21 17.3 56 93 1.18 93 14.9 4.273797e+01 1.471462e+06 6.9 6.8 0.415 9.9
Malawi 2008 Developing 50.0 525 36 1.27 7.434483e+01 91 20 16.9 58 92 1.70 91 16.9 3.728427e+02 1.427123e+07 7.0 6.9 0.400 9.6
Malawi 2007 Developing 48.5 559 37 1.18 4.269511e+00 87 143 16.6 59 88 9.31 87 19.3 3.222273e+01 1.384969e+06 7.1 7.0 0.387 9.7
Malawi 2006 Developing 47.1 587 38 1.18 6.847034e+00 99 1 16.2 61 99 8.99 99 21.1 2.976971e+02 1.342926e+07 7.3 7.1 0.377 9.6
Malawi 2005 Developing 46.0 66 39 1.04 5.670640e+00 93 184 15.9 62 94 8.20 93 22.4 2.836738e+01 1.339711e+06 7.4 7.2 0.371 9.7
Malawi 2004 Developing 45.1 615 40 1.11 5.813583e+01 89 1116 15.5 65 94 7.82 89 23.4 2.742256e+02 1.267638e+06 7.5 7.4 0.366 10.0
Malawi 2003 Developing 44.6 613 43 1.08 4.375316e+00 84 167 15.2 70 85 6.35 84 24.2 2.615252e+01 1.233669e+07 7.6 7.5 0.362 10.3
Malawi 2002 Developing 44.0 67 46 1.10 3.885395e+00 64 92 14.8 75 79 4.82 64 24.7 2.997990e+01 1.213711e+06 7.7 7.6 0.388 10.4
Malawi 2001 Developing 43.5 599 48 1.15 1.279761e+01 NA 150 14.4 80 86 5.70 9 25.1 1.467615e+02 1.169586e+07 7.9 7.7 0.387 10.1
Malawi 2000 Developing 43.1 588 51 1.18 1.376270e+01 NA 304 14.1 84 73 6.70 75 25.5 1.532595e+02 1.137617e+07 8.0 7.9 0.391 10.7
Malaysia 2015 Developing 75.0 123 4 NA 0.000000e+00 99 1318 4.6 4 99 NA 99 0.1 9.643645e+03 3.723155e+06 7.5 7.3 0.787 13.1
Malaysia 2014 Developing 74.8 126 4 0.52 7.213655e+02 96 221 39.5 4 97 4.17 97 0.1 1.118396e+04 3.228170e+05 7.6 7.4 0.783 13.0
Malaysia 2013 Developing 74.6 128 3 0.53 1.106780e+02 96 195 38.5 4 97 4.20 97 0.1 1.882278e+03 2.976724e+06 7.8 7.6 0.779 12.9
Malaysia 2012 Developing 74.5 129 3 0.53 1.016092e+02 97 1868 37.4 4 97 4.10 97 0.1 1.779496e+03 2.917456e+06 7.9 7.7 0.776 12.9
Malaysia 2011 Developing 74.3 13 3 0.51 9.230026e+00 96 1569 36.3 4 96 3.89 96 0.1 1.451262e+02 2.863513e+07 8.0 7.8 0.774 13.0
Malaysia 2010 Developing 74.1 131 3 0.49 6.556660e+01 96 73 35.3 4 96 3.99 96 0.1 9.713570e+02 2.811229e+07 8.2 8.0 0.764 12.8
Malaysia 2009 Developing 74.0 131 3 0.47 4.315452e+02 96 153 34.4 4 97 3.97 97 0.1 7.326744e+03 2.765383e+06 8.3 8.2 0.756 12.6
Malaysia 2008 Developing 73.8 132 3 0.47 4.384519e+02 97 334 33.4 4 97 3.47 97 0.1 8.513630e+03 2.711169e+06 8.5 8.3 0.747 12.5
Malaysia 2007 Developing 73.7 133 3 0.43 4.099813e+02 96 394 32.5 4 97 3.61 97 0.1 7.269171e+03 2.662585e+07 8.7 8.5 0.736 12.3
Malaysia 2006 Developing 73.6 134 3 0.42 3.659114e+02 95 564 31.6 4 95 3.65 95 0.1 6.222983e+03 2.614357e+07 8.8 8.6 0.732 12.7
Malaysia 2005 Developing 73.4 135 3 0.46 2.975914e+02 96 1407 3.7 4 96 3.29 96 0.1 5.593823e+03 2.565939e+07 9.0 8.8 0.734 12.9
Malaysia 2004 Developing 73.2 137 3 0.49 3.156639e+02 94 5729 29.8 4 95 3.74 95 0.1 4.955478e+03 2.517419e+06 9.2 8.9 0.731 12.7
Malaysia 2003 Developing 73.1 138 3 0.48 2.642496e+02 95 632 28.8 4 96 3.95 96 0.1 4.463676e+03 2.468873e+06 9.3 9.1 0.724 12.1
Malaysia 2002 Developing 72.9 14 4 0.49 2.167029e+02 95 408 27.9 4 94 3.40 94 0.1 4.167364e+03 2.419881e+07 9.5 9.3 0.723 12.0
Malaysia 2001 Developing 72.7 144 4 0.53 2.102417e+02 95 2198 27.0 5 95 3.40 96 0.1 3.915115e+03 2.369897e+06 9.7 9.4 0.725 11.9
Malaysia 2000 Developing 72.4 149 4 0.54 2.337167e+01 97 6187 26.0 5 98 3.40 98 0.1 4.451747e+02 2.318568e+06 9.8 9.6 0.715 11.6
Maldives 2015 Developing 78.5 61 0 NA 0.000000e+00 99 0 27.4 0 99 NA 99 0.1 8.395785e+03 4.916300e+04 13.6 13.6 0.701 12.7
Maldives 2014 Developing 78.2 62 0 0.01 2.051749e+03 99 0 26.2 0 99 13.73 99 0.1 7.716242e+03 4.100000e+01 13.6 13.7 0.693 12.7
Maldives 2013 Developing 77.9 64 0 0.01 1.626591e+03 99 0 25.1 0 99 11.16 99 0.1 7.112336e+03 3.930000e+02 13.7 13.8 0.683 12.4
Maldives 2012 Developing 77.6 65 0 0.01 1.259940e+03 99 0 24.1 0 99 9.16 99 0.1 6.541747e+03 3.850000e+02 13.8 13.9 0.675 12.1
Maldives 2011 Developing 77.3 67 0 1.92 1.079894e+03 96 0 23.1 0 96 8.11 96 0.1 6.497554e+03 3.770000e+02 13.9 14.0 0.663 11.8
Maldives 2010 Developing 76.7 73 0 1.83 9.113972e+01 97 0 22.1 0 97 7.93 96 0.1 6.337950e+02 3.670000e+02 14.0 14.1 0.653 11.6
Maldives 2009 Developing 76.3 75 0 1.59 1.005030e+02 98 6 21.2 0 98 9.22 98 0.1 5.971659e+02 3.600000e+01 14.1 14.2 0.651 11.8
Maldives 2008 Developing 75.9 81 0 1.76 1.077712e+03 98 0 2.3 0 98 9.30 98 0.1 5.828621e+03 3.620000e+02 14.2 14.3 0.641 11.8
Maldives 2007 Developing 75.4 82 0 1.78 6.491489e+00 98 20 19.5 0 98 6.64 98 0.1 5.286228e+01 3.490000e+02 14.3 14.4 0.632 11.9
Maldives 2006 Developing 75.0 88 0 1.62 6.598499e+02 98 47 18.7 0 98 7.37 98 0.1 4.428523e+03 3.330000e+02 14.3 14.5 0.622 12.0
Maldives 2005 Developing 74.3 93 0 1.47 6.209519e+02 98 1395 18.0 0 98 9.52 98 0.1 3.488494e+03 3.210000e+02 14.4 14.5 0.625 12.1
Maldives 2004 Developing 73.4 16 0 1.60 6.119094e+02 97 37 17.3 0 96 5.89 96 0.1 3.853333e+03 3.120000e+02 14.5 14.6 0.617 12.2
Maldives 2003 Developing 72.7 112 0 1.75 4.914979e+02 98 75 16.7 0 98 5.90 98 0.1 3.432248e+03 3.400000e+01 14.6 14.7 0.601 11.8
Maldives 2002 Developing 71.8 124 0 1.95 4.299053e+00 98 926 16.2 0 98 5.78 98 0.1 3.237239e+01 2.970000e+02 14.6 14.7 0.597 12.0
Maldives 2001 Developing 78.0 129 0 1.98 4.130689e+01 98 0 15.6 0 97 5.84 98 0.1 2.986760e+02 2.920000e+02 14.7 14.8 0.587 11.8
Maldives 2000 Developing 69.6 139 0 1.83 3.001621e+02 96 20 15.2 0 98 8.00 98 0.1 2.182997e+03 2.860000e+02 14.8 14.8 0.577 11.3
Mali 2015 Developing 58.2 266 52 NA 0.000000e+00 64 215 23.8 84 66 NA 64 1.5 7.297253e+02 1.746795e+06 7.7 7.5 0.438 8.4
Mali 2014 Developing 57.8 272 52 0.01 4.656232e+01 73 290 23.2 85 74 6.86 73 1.6 8.255730e+02 1.696285e+07 7.9 7.7 0.430 8.2
Mali 2013 Developing 57.3 275 53 0.01 3.686104e+01 69 221 22.5 86 7 6.58 69 1.6 7.776591e+02 1.647782e+07 8.1 7.9 0.421 8.0
Mali 2012 Developing 57.2 27 53 0.01 9.654658e+01 66 341 21.9 88 72 6.47 66 1.5 7.773477e+02 1.666700e+04 8.3 8.1 0.411 7.7
Mali 2011 Developing 56.8 271 54 0.61 1.018114e+02 66 24 21.3 90 72 6.59 66 1.5 8.358900e+02 1.554989e+06 8.5 8.3 0.404 7.5
Mali 2010 Developing 56.5 273 54 0.60 9.585584e+00 72 1719 2.7 91 77 6.35 73 1.5 7.837763e+01 1.575850e+05 8.8 8.5 0.396 7.3
Mali 2009 Developing 56.0 276 55 0.59 8.463439e+01 71 2939 2.2 93 77 6.85 73 1.6 6.971531e+02 1.466597e+06 9.0 8.8 0.385 7.1
Mali 2008 Developing 55.5 278 55 0.57 1.021414e+02 74 98 19.6 94 74 6.74 74 1.6 6.896784e+02 1.413822e+07 9.2 9.0 0.360 5.8
Mali 2007 Developing 55.0 282 56 0.55 8.184050e+01 74 2 19.0 96 76 6.97 74 1.7 5.956368e+02 1.367566e+06 9.4 9.3 0.363 6.4
Mali 2006 Developing 54.3 288 57 0.53 6.770921e+01 9 128 18.5 98 79 6.56 78 1.8 5.216426e+02 1.322764e+06 9.7 9.5 0.350 6.1
Mali 2005 Developing 53.6 29 57 0.55 6.021211e+01 83 33 18.0 101 78 6.34 77 1.9 4.879426e+02 1.279876e+07 9.9 9.7 0.338 5.8
Mali 2004 Developing 52.8 296 58 0.49 5.711645e+01 73 172 17.5 103 7 6.28 69 2.0 4.393573e+02 1.239196e+06 1.1 1.0 0.333 5.5
Mali 2003 Developing 52.0 299 59 0.54 6.660452e+00 79 232 17.0 106 67 6.25 63 2.2 3.917913e+02 1.251280e+05 1.3 1.2 0.318 5.2
Mali 2002 Developing 51.2 31 60 0.53 3.676466e+00 NA 717 16.5 108 65 6.32 61 2.3 3.342242e+02 1.163893e+07 1.5 1.5 0.308 4.9
Mali 2001 Developing 55.0 34 60 0.51 4.395886e+00 NA 4464 16.1 110 56 6.39 49 2.4 3.684732e+01 1.129326e+07 1.8 1.7 0.297 4.6
Mali 2000 Developing 49.8 37 60 0.47 2.394507e+01 NA 1578 15.6 111 53 6.29 43 2.5 2.693484e+02 1.967690e+05 11.0 1.9 0.291 4.4
Malta 2015 Developed 81.7 54 0 NA 0.000000e+00 95 2 69.6 0 97 NA 97 0.1 2.381946e+04 4.318740e+05 0.8 0.8 0.853 14.6
Malta 2014 Developed 81.4 55 0 8.49 4.096000e+02 9 0 69.2 0 99 9.75 99 0.1 2.618926e+03 4.273640e+05 0.8 0.8 0.847 14.3
Malta 2013 Developed 81.1 57 0 8.58 3.742947e+02 94 0 68.8 0 99 9.89 99 0.1 2.393189e+03 4.233740e+05 0.8 0.7 0.828 14.2
Malta 2012 Developed 81.0 58 0 7.67 3.431234e+02 93 0 68.4 0 99 9.95 99 0.1 2.193884e+03 4.194550e+05 0.8 0.7 0.821 14.1
Malta 2011 Developed 87.0 59 0 6.91 3.601287e+03 82 3 68.0 0 96 9.60 96 0.1 2.282185e+04 4.162680e+05 0.8 0.7 0.826 14.8
Malta 2010 Developed 83.0 62 0 7.91 2.780687e+02 75 0 67.6 0 76 8.30 76 0.1 2.187795e+03 4.145800e+04 0.8 0.7 0.819 14.6
Malta 2009 Developed 82.0 63 0 7.38 3.355181e+02 86 1 67.1 0 73 8.33 73 0.1 2.675583e+03 4.124770e+05 0.8 0.7 0.815 14.4
Malta 2008 Developed 80.0 64 0 7.14 2.655574e+03 86 1 66.6 0 72 8.15 72 0.1 2.192877e+04 4.937900e+04 0.7 0.7 0.813 14.6
Malta 2007 Developed 79.6 65 0 7.45 2.578888e+03 82 2 66.1 0 76 8.36 74 0.1 1.937557e+04 4.672400e+04 0.7 0.7 0.808 14.4
Malta 2006 Developed 79.3 66 0 8.84 2.380700e+03 86 1 65.6 0 83 8.93 85 0.1 1.667157e+04 4.538000e+03 0.7 0.7 0.809 14.8
Malta 2005 Developed 79.0 67 0 6.41 2.247036e+03 85 6 65.0 0 94 8.83 92 0.1 1.583535e+04 4.383400e+04 0.7 0.7 0.805 14.8
Malta 2004 Developed 78.7 69 0 6.53 2.033157e+02 85 4 64.5 0 89 8.46 89 0.1 1.519550e+03 4.126800e+04 0.7 0.7 0.797 14.2
Malta 2003 Developed 78.5 71 0 6.70 1.678393e+03 89 4 63.9 0 94 8.60 94 0.1 1.368999e+04 3.985820e+05 0.7 0.7 0.790 13.8
Malta 2002 Developed 78.2 75 0 5.73 1.552740e+03 NA 7 63.4 0 95 7.86 95 0.1 1.184394e+04 3.959690e+05 0.7 0.7 0.786 13.8
Malta 2001 Developed 77.8 79 0 5.62 1.300150e+02 NA 2 62.8 0 95 7.11 95 0.1 1.121786e+03 3.932800e+04 0.7 0.7 0.783 13.7
Malta 2000 Developed 77.5 8 0 5.59 1.343547e+02 NA 2 62.3 0 94 6.83 94 0.1 1.139565e+03 3.987000e+03 0.8 0.7 0.779 13.8
Marshall Islands 2013 Developing NA NA 0 0.01 8.718783e+02 8 0 81.6 0 79 17.24 79 0.1 3.617752e+03 NA 0.1 0.1 NA 0.0
Mauritania 2015 Developing 63.1 25 8 NA 0.000000e+00 73 1 3.8 12 67 NA 73 0.9 1.158256e+03 4.182341e+06 7.8 7.5 0.513 8.5
Mauritania 2014 Developing 63.0 26 8 0.01 8.092680e+01 84 14 3.1 12 84 3.77 84 0.9 1.326669e+03 4.639200e+04 8.0 7.7 0.509 8.5
Mauritania 2013 Developing 62.7 28 8 0.01 8.880281e+00 8 62 29.4 12 8 3.63 8 1.1 1.455784e+02 3.946170e+05 8.1 7.9 0.501 8.2
Mauritania 2012 Developing 62.5 29 8 0.01 6.248420e+01 8 35 28.8 12 8 3.36 8 1.2 1.364284e+03 3.832390e+05 8.3 8.1 0.491 7.8
Mauritania 2011 Developing 62.2 212 8 0.01 7.927658e+01 75 234 28.1 12 73 2.87 75 1.2 1.393262e+03 3.717672e+06 8.5 8.3 0.487 7.7
Mauritania 2010 Developing 62.0 214 8 0.01 8.353075e+00 64 1292 27.4 12 52 3.28 64 1.2 1.233837e+02 3.695430e+05 8.7 8.5 0.484 7.6
Mauritania 2009 Developing 61.7 215 8 0.01 1.114504e+01 64 322 26.8 12 63 3.79 64 1.2 1.468385e+02 3.562880e+05 8.9 8.7 0.476 7.1
Mauritania 2008 Developing 61.4 217 8 0.02 6.176264e+01 74 4 26.1 12 73 3.23 74 1.3 1.167536e+03 3.475410e+05 9.2 8.9 0.475 7.2
Mauritania 2007 Developing 61.2 219 8 0.02 7.354001e+00 74 11 25.5 12 75 3.54 75 1.3 1.133128e+02 3.312665e+06 9.4 9.1 0.475 7.4
Mauritania 2006 Developing 69.0 221 8 0.01 5.579837e+01 68 22 24.8 12 68 3.21 68 1.3 9.441349e+02 3.226530e+05 9.6 9.4 0.466 7.2
Mauritania 2005 Developing 66.0 223 8 0.01 5.512187e+01 42 127 24.2 12 71 4.21 71 1.3 6.977452e+02 3.137200e+04 9.8 9.6 0.461 7.2
Mauritania 2004 Developing 64.0 224 8 0.01 5.003783e+00 NA 5039 23.6 12 68 4.70 7 1.3 6.254729e+01 3.428230e+05 1.0 9.8 0.451 6.7
Mauritania 2003 Developing 63.0 226 8 0.01 2.965371e+01 NA 3611 22.9 12 75 4.53 76 1.3 5.285866e+02 2.957117e+06 1.3 1.1 0.447 6.6
Mauritania 2002 Developing 62.0 228 7 0.02 4.113191e+00 NA 883 22.3 12 91 5.31 89 1.2 4.695423e+01 2.873228e+06 1.5 1.3 0.446 6.5
Mauritania 2001 Developing 61.0 229 7 0.01 2.878224e+01 NA 1398 21.7 12 75 4.34 75 1.2 4.642298e+02 2.797290e+05 1.7 1.5 0.444 6.5
Mauritania 2000 Developing 60.0 23 7 0.03 8.594570e+00 NA 0 21.1 11 58 5.26 51 1.1 4.774761e+02 2.793590e+05 1.9 1.7 0.443 6.4
Mauritius 2015 Developing 74.6 146 0 NA 0.000000e+00 97 0 33.3 0 98 NA 97 0.1 9.252117e+03 1.262650e+05 6.9 6.8 0.779 15.2
Mauritius 2014 Developing 74.2 148 0 0.01 1.152784e+02 97 0 32.8 0 98 4.81 97 0.1 1.153938e+03 1.269340e+05 7.0 6.9 0.769 14.7
Mauritius 2013 Developing 74.1 147 0 0.01 9.174676e+02 98 0 32.3 0 98 4.82 98 0.1 9.637265e+03 1.258653e+06 7.0 7.0 0.765 14.7
Mauritius 2012 Developing 73.9 154 0 0.01 9.151859e+02 98 0 31.8 0 98 4.76 98 0.1 9.291228e+03 1.255882e+06 7.1 7.0 0.756 14.3
Mauritius 2011 Developing 73.6 158 0 3.03 9.188072e+02 98 2 31.3 0 98 5.20 98 0.1 9.197270e+03 1.252440e+05 7.1 7.1 0.748 14.1
Mauritius 2010 Developing 73.3 163 0 2.95 1.080560e-01 99 12 3.7 0 99 5.29 99 0.2 8.376432e+00 1.254000e+03 7.2 7.2 0.740 14.0
Mauritius 2009 Developing 72.8 166 0 2.83 6.242362e+02 99 15 3.2 0 99 4.97 99 0.1 7.318126e+03 1.247429e+06 7.3 7.3 0.734 13.8
Mauritius 2008 Developing 72.7 166 0 2.49 6.648982e+00 99 12 29.7 0 99 4.60 99 0.1 8.363500e+01 1.244121e+06 7.4 7.3 0.728 13.6
Mauritius 2007 Developing 72.9 161 0 3.24 5.825144e+02 97 13 29.1 0 96 4.24 97 0.1 6.574654e+03 1.239630e+05 7.5 7.4 0.720 13.5
Mauritius 2006 Developing 71.8 165 0 3.73 5.023845e+02 97 3 28.6 0 98 4.38 97 0.1 5.695969e+03 1.233996e+06 7.6 7.5 0.713 13.4
Mauritius 2005 Developing 72.1 168 0 3.94 4.799234e+02 97 7 28.0 0 97 4.47 97 0.1 5.116454e+03 1.228254e+06 7.7 7.6 0.704 13.0
Mauritius 2004 Developing 71.9 168 0 4.16 5.093900e+02 98 28 27.5 0 98 4.29 98 0.1 5.229877e+03 1.221300e+04 7.8 7.7 0.696 12.8
Mauritius 2003 Developing 71.5 174 0 4.08 4.077793e+02 97 777 26.9 0 99 4.15 99 0.1 4.623348e+03 1.213370e+05 7.9 7.8 0.687 12.6
Mauritius 2002 Developing 71.5 179 0 4.14 3.696317e+02 88 0 26.4 0 88 4.24 88 0.1 3.957513e+03 1.246210e+05 7.9 7.9 0.683 12.5
Mauritius 2001 Developing 71.5 177 0 4.38 7.015537e+01 92 0 25.8 0 93 3.87 92 0.1 3.792182e+03 1.196287e+06 8.0 8.0 0.673 12.2
Mauritius 2000 Developing 71.0 177 0 4.60 3.363213e+02 88 0 25.3 0 88 3.78 88 0.1 3.861324e+03 1.186873e+06 8.1 8.1 0.667 12.1
Mexico 2015 Developing 76.7 122 30 NA 0.000000e+00 82 0 63.5 35 87 NA 87 0.1 9.143128e+03 1.258995e+07 1.5 1.5 0.758 13.3
Mexico 2014 Developing 76.6 122 31 5.26 1.681738e+02 84 3 62.8 36 87 6.30 87 0.1 1.452278e+03 1.242216e+06 1.6 1.5 0.754 13.1
Mexico 2013 Developing 76.6 12 32 5.23 1.504089e+02 82 0 62.1 37 83 6.30 83 0.1 1.298868e+03 1.225360e+08 1.6 1.5 0.753 12.9
Mexico 2012 Developing 76.3 123 33 5.29 1.126965e+02 99 0 61.5 38 99 6.21 99 0.1 9.825326e+02 1.282837e+06 1.6 1.5 0.748 12.7
Mexico 2011 Developing 76.1 124 34 5.30 1.117196e+03 98 3 6.8 39 97 6.40 97 0.1 9.834473e+03 1.199170e+05 1.6 1.6 0.745 12.6
Mexico 2010 Developing 75.6 127 35 5.21 1.033040e+03 93 0 6.1 40 95 6.39 95 0.1 8.959581e+03 1.173189e+08 1.6 1.6 0.739 12.5
Mexico 2009 Developing 75.7 13 36 5.27 8.817364e+02 95 0 59.4 42 95 6.60 95 0.1 7.748123e+03 1.155523e+07 1.7 1.6 0.738 12.5
Mexico 2008 Developing 75.6 127 37 5.36 1.598772e+02 97 0 58.7 43 96 6.60 96 0.1 9.689529e+03 1.136619e+07 1.7 1.6 0.735 12.3
Mexico 2007 Developing 76.0 123 38 5.35 1.057476e+02 98 0 57.9 45 98 5.92 98 0.1 9.333417e+02 1.118363e+08 1.7 1.7 0.731 12.3
Mexico 2006 Developing 75.8 125 40 5.11 9.802537e+02 98 23 57.2 47 98 5.83 98 0.1 8.767923e+03 1.192378e+06 1.8 1.7 0.723 12.2
Mexico 2005 Developing 75.3 126 42 4.93 9.983498e+02 98 6 56.4 49 98 6.40 98 0.1 7.986798e+03 1.847223e+07 1.8 1.7 0.719 12.2
Mexico 2004 Developing 75.4 124 44 4.90 9.208284e+02 98 64 55.7 52 98 6.11 98 0.1 7.199597e+03 1.699558e+07 1.8 1.8 0.714 12.1
Mexico 2003 Developing 75.0 127 46 4.88 7.812063e+02 98 44 54.9 55 98 6.20 98 0.1 6.751999e+03 1.564453e+06 1.9 1.8 0.708 11.9
Mexico 2002 Developing 75.0 127 49 4.77 1.218597e+01 97 0 54.1 58 98 5.52 97 0.1 7.168219e+02 1.435568e+06 1.9 1.8 0.703 11.6
Mexico 2001 Developing 75.0 126 52 4.86 1.331110e+01 97 3 53.2 62 97 5.35 97 0.1 7.313789e+02 1.367680e+05 1.9 1.9 0.700 11.6
Mexico 2000 Developing 74.8 129 55 4.99 1.022840e+01 97 30 52.4 66 97 4.98 97 0.1 6.729211e+02 1.171967e+07 2.0 1.9 0.694 11.4
Micronesia (Federated States of) 2015 Developing 69.4 166 0 NA 0.000000e+00 78 0 69.4 0 71 NA 72 0.1 NA NA 0.2 0.2 0.637 11.7
Micronesia (Federated States of) 2014 Developing 69.4 164 0 1.58 0.000000e+00 81 140 68.7 0 76 13.71 77 0.1 NA NA 0.2 0.2 0.639 11.7
Micronesia (Federated States of) 2013 Developing 69.2 166 0 1.67 0.000000e+00 83 0 68.1 0 81 13.38 81 0.1 NA NA 0.2 0.2 0.641 11.7
Micronesia (Federated States of) 2012 Developing 69.0 168 0 2.98 0.000000e+00 82 0 67.5 0 81 12.77 81 0.1 NA NA 0.2 0.2 0.640 11.7
Micronesia (Federated States of) 2011 Developing 68.9 169 0 1.89 0.000000e+00 83 0 67.0 0 83 13.76 84 0.1 NA NA 0.2 0.2 0.638 11.7
Micronesia (Federated States of) 2010 Developing 68.7 171 0 1.76 0.000000e+00 88 0 66.4 0 85 13.83 85 0.1 NA NA 0.2 0.2 0.633 11.5
Micronesia (Federated States of) 2009 Developing 68.5 172 0 2.06 0.000000e+00 89 0 65.8 0 81 13.44 91 0.1 NA NA 0.2 0.2 0.629 11.4
Micronesia (Federated States of) 2008 Developing 68.4 174 0 1.97 0.000000e+00 89 0 65.2 0 88 12.94 85 0.1 NA NA 0.2 0.2 0.628 11.2
Micronesia (Federated States of) 2007 Developing 68.2 175 0 1.64 0.000000e+00 9 0 64.7 0 79 11.99 79 0.1 NA NA 0.2 0.2 0.625 11.0
Micronesia (Federated States of) 2006 Developing 68.0 176 0 1.73 0.000000e+00 84 0 64.1 0 81 11.92 67 0.1 NA NA 0.2 0.2 0.622 10.9
Micronesia (Federated States of) 2005 Developing 67.9 178 0 1.90 0.000000e+00 91 0 63.6 0 94 12.11 94 0.1 NA NA 0.2 0.2 0.617 10.7
Micronesia (Federated States of) 2004 Developing 67.7 179 0 2.02 0.000000e+00 8 0 63.2 0 82 1.64 78 0.1 NA NA 0.2 0.2 0.616 10.5
Micronesia (Federated States of) 2003 Developing 67.5 18 0 3.15 0.000000e+00 89 0 62.8 0 88 9.69 92 0.1 NA NA 0.2 0.2 0.612 10.4
Micronesia (Federated States of) 2002 Developing 66.2 21 0 2.78 0.000000e+00 85 0 62.4 0 84 8.20 84 0.1 NA NA 0.2 0.2 0.608 10.2
Micronesia (Federated States of) 2001 Developing 67.2 183 0 2.82 0.000000e+00 81 0 62.0 0 79 8.58 75 0.1 NA NA 0.3 0.2 0.604 10.1
Micronesia (Federated States of) 2000 Developing 67.0 185 0 2.23 0.000000e+00 87 0 61.5 0 85 7.88 85 0.1 NA NA 0.3 0.3 0.000 0.0
Monaco 2013 Developing NA NA 0 0.01 0.000000e+00 99 0 NA 0 99 4.30 99 0.1 NA NA NA NA NA NA
Mongolia 2015 Developing 68.8 222 1 NA 0.000000e+00 99 20359 52.7 1 99 NA 99 0.1 3.944184e+03 2.976877e+06 2.2 2.3 0.733 14.8
Mongolia 2014 Developing 68.4 225 1 0.01 2.810024e+02 99 0 51.5 1 99 4.73 99 0.1 4.181583e+03 2.923896e+06 2.2 2.3 0.729 14.8
Mongolia 2013 Developing 68.1 227 1 0.01 2.411959e+02 98 0 5.4 1 98 4.21 98 0.1 4.385379e+03 2.869170e+05 2.2 2.3 0.720 14.7
Mongolia 2012 Developing 67.8 231 1 0.01 2.538286e+02 99 0 49.2 2 99 4.22 99 0.1 4.368822e+03 2.814226e+06 2.2 2.3 0.712 14.7
Mongolia 2011 Developing 67.3 235 1 0.01 2.578403e+02 99 0 48.0 2 99 4.45 99 0.1 3.769595e+03 2.761516e+06 2.2 2.3 0.701 14.6
Mongolia 2010 Developing 66.3 25 1 5.80 2.231624e+01 96 7 46.9 2 96 4.70 96 0.1 2.653537e+02 2.712650e+05 2.2 2.3 0.693 14.3
Mongolia 2009 Developing 66.9 235 1 4.61 1.341679e+02 97 8 45.9 2 96 5.29 95 0.1 1.717899e+03 2.668289e+06 2.2 2.3 0.686 13.8
Mongolia 2008 Developing 67.4 225 2 4.26 1.810123e+02 96 31 44.9 2 95 5.58 96 0.1 2.139626e+03 2.628131e+06 2.2 2.3 0.673 13.4
Mongolia 2007 Developing 65.9 26 2 3.79 1.266981e+02 98 12 43.9 2 99 5.60 95 0.1 1.634814e+03 2.591670e+05 2.2 2.4 0.661 13.0
Mongolia 2006 Developing 65.0 271 2 2.91 1.221206e+02 98 26 43.0 2 98 4.68 99 0.1 1.334652e+03 2.558120e+05 2.2 2.4 0.649 12.7
Mongolia 2005 Developing 64.5 274 2 2.75 9.868368e+01 98 0 42.1 2 99 5.90 99 0.1 9.988227e+02 2.526446e+06 2.3 2.4 0.637 11.8
Mongolia 2004 Developing 64.0 284 2 1.75 7.324150e+01 98 0 41.3 2 99 5.99 99 0.1 7.978377e+02 2.496832e+06 2.3 2.4 0.621 11.2
Mongolia 2003 Developing 64.0 271 2 1.31 5.605686e+01 98 18 4.5 2 98 6.18 98 0.1 6.465613e+02 2.469286e+06 2.4 2.5 0.609 10.5
Mongolia 2002 Developing 63.8 263 2 2.43 5.560878e+01 98 1205 39.8 2 98 5.81 98 0.1 5.715188e+02 2.443659e+06 2.4 2.5 0.599 10.1
Mongolia 2001 Developing 63.2 266 2 2.87 6.184922e+01 95 10677 39.1 3 95 5.45 95 0.1 5.241459e+02 2.419776e+06 2.5 2.6 0.588 9.4
Mongolia 2000 Developing 62.8 274 2 2.79 5.643139e+01 93 925 38.5 3 94 4.92 94 0.1 4.742133e+02 2.397436e+06 2.6 2.6 0.582 8.9
Montenegro 2015 Developing 76.1 16 0 NA 0.000000e+00 82 0 61.8 0 89 NA 89 0.1 6.461193e+03 6.221590e+05 1.8 1.8 0.804 15.1
Montenegro 2014 Developing 75.9 17 0 0.01 7.260292e+02 87 0 61.3 0 91 6.42 91 0.1 7.378345e+03 6.218100e+04 1.8 1.9 0.803 15.1
Montenegro 2013 Developing 75.8 19 0 0.01 7.071447e+02 9 0 6.7 0 94 6.43 94 0.1 7.186430e+03 6.212700e+04 1.8 1.9 0.799 15.1
Montenegro 2012 Developing 75.6 11 0 0.01 6.481332e+02 9 0 6.2 0 94 7.25 94 0.1 6.586719e+03 6.261000e+03 1.9 1.9 0.797 15.1
Montenegro 2011 Developing 75.4 113 0 6.56 6.667374e+02 91 5 59.7 0 95 6.92 95 0.1 7.318742e+03 6.279000e+03 1.9 2.0 0.792 15.1
Montenegro 2010 Developing 75.3 115 0 6.56 6.354849e+02 9 5 59.1 0 93 6.90 94 0.1 6.682281e+03 6.194280e+05 2.0 2.0 0.787 15.0
Montenegro 2009 Developing 75.0 117 0 6.45 4.896819e+02 87 0 58.5 0 91 6.70 92 0.1 6.698794e+03 6.182940e+05 2.0 2.1 0.785 14.6
Montenegro 2008 Developing 74.6 121 0 6.17 7.091311e+02 93 0 57.8 0 95 6.13 95 0.1 7.325735e+03 6.169690e+05 2.1 2.1 0.774 14.2
Montenegro 2007 Developing 74.2 125 0 4.98 6.785189e+02 9 0 57.2 0 92 6.74 92 0.1 5.957146e+03 6.158750e+05 2.1 2.2 0.762 13.6
Montenegro 2006 Developing 73.8 13 0 5.38 5.957307e+02 9 0 56.5 0 9 8.10 9 0.1 4.383596e+03 6.152500e+04 2.2 2.2 0.751 13.2
Montenegro 2005 Developing 73.6 133 0 NA 5.273077e+02 NA 0 55.7 0 NA 8.46 NA 0.1 3.674618e+03 6.142610e+05 2.3 2.3 0.746 12.8
Montenegro 2004 Developing 73.5 134 0 0.01 5.712190e+01 NA 0 55.0 0 NA 8.45 NA 0.1 3.381995e+02 6.133530e+05 2.3 2.4 0.740 12.6
Montenegro 2003 Developing 73.5 134 0 0.01 4.950783e+02 NA 0 54.2 0 NA 8.91 NA 0.1 2.789173e+03 6.122670e+05 2.4 2.4 0.000 0.0
Montenegro 2002 Developing 73.4 136 0 0.01 3.648024e+01 NA 0 53.5 0 NA 8.33 NA 0.1 2.162433e+02 6.982800e+04 2.5 2.5 0.000 0.0
Montenegro 2001 Developing 73.3 136 0 0.01 3.366981e+01 NA 0 52.7 0 NA 8.23 NA 0.1 1.995840e+02 6.738900e+04 2.5 2.6 0.000 0.0
Montenegro 2000 Developing 73.0 144 0 0.01 2.745473e+02 NA 0 51.9 0 NA 7.32 NA 0.1 1.627429e+03 6.495000e+03 2.6 2.7 0.000 0.0
Morocco 2015 Developing 74.3 95 17 NA 0.000000e+00 99 17 58.5 20 99 NA 99 0.1 2.847286e+03 3.483322e+06 6.4 6.2 0.645 12.1
Morocco 2014 Developing 74.1 96 18 0.43 1.987343e+02 99 10 57.5 21 99 5.91 99 0.1 3.154513e+03 3.431882e+06 6.4 6.2 0.640 12.1
Morocco 2013 Developing 73.9 97 18 0.45 1.798599e+02 99 92 56.5 21 99 5.94 99 0.1 3.111763e+03 3.382477e+07 6.4 6.2 0.634 12.1
Morocco 2012 Developing 73.6 99 19 0.55 1.915854e+01 99 668 55.5 22 99 6.15 99 0.1 2.947467e+02 3.333379e+07 6.3 6.2 0.623 11.6
Morocco 2011 Developing 73.3 14 19 0.54 2.209455e+01 98 982 54.6 22 98 5.99 99 0.1 3.399162e+02 3.285882e+07 6.3 6.2 0.612 11.2
Morocco 2010 Developing 72.8 11 20 0.56 1.836592e+02 98 633 53.6 23 99 5.86 99 0.1 2.834247e+03 3.249639e+06 6.3 6.2 0.603 10.7
Morocco 2009 Developing 72.3 116 20 0.62 1.882903e+02 98 834 52.7 23 99 5.67 99 0.1 2.861555e+03 3.198990e+07 6.4 6.2 0.596 10.5
Morocco 2008 Developing 71.8 123 21 0.51 1.713659e+02 97 1455 51.7 24 99 5.41 99 0.1 2.884948e+03 3.159686e+07 6.4 6.3 0.589 10.3
Morocco 2007 Developing 71.4 128 21 0.56 1.576431e+02 95 2248 5.8 25 95 5.48 95 0.1 2.494354e+03 3.122588e+07 6.4 6.3 0.581 10.0
Morocco 2006 Developing 71.0 133 22 0.58 1.277632e+02 95 1217 49.9 25 97 5.23 97 0.1 2.191479e+03 3.869346e+06 6.4 6.3 0.575 10.0
Morocco 2005 Developing 77.0 137 22 0.47 9.469371e+00 96 0 49.1 26 98 5.60 98 0.1 2.137556e+02 3.521700e+04 6.5 6.3 0.569 9.8
Morocco 2004 Developing 72.0 142 23 0.56 1.003638e+02 95 6399 48.2 27 97 5.22 97 0.1 1.948812e+03 3.179285e+06 6.5 6.4 0.561 9.6
Morocco 2003 Developing 69.9 146 24 0.58 8.816506e+01 9 10841 47.3 28 91 5.25 91 0.1 1.721974e+03 2.984394e+07 6.6 6.4 0.551 9.3
Morocco 2002 Developing 69.5 15 25 0.46 6.672934e+01 92 6000 46.5 29 94 5.31 94 0.1 1.413757e+03 2.951237e+07 6.6 6.5 0.540 8.8
Morocco 2001 Developing 69.0 155 26 0.46 7.111645e+01 84 2724 45.7 30 93 4.44 96 0.1 1.336775e+03 2.918183e+07 6.7 6.5 0.530 8.5
Morocco 2000 Developing 68.6 16 27 0.45 6.342140e+01 43 7368 44.8 32 95 4.18 95 0.1 1.332382e+03 2.884962e+07 6.7 6.6 0.519 8.0
Mozambique 2015 Developing 57.6 355 60 NA 0.000000e+00 8 79 22.6 81 8 NA 8 3.9 5.283126e+02 2.816910e+05 3.6 3.5 0.414 9.1
Mozambique 2014 Developing 56.7 375 61 0.01 5.491159e+01 79 9 22.2 84 79 6.98 79 4.1 6.232871e+02 2.721238e+07 3.6 3.5 0.409 9.1
Mozambique 2013 Developing 55.3 46 62 1.16 5.813339e+00 78 8 21.8 87 78 5.90 78 5.1 6.598568e+01 2.643437e+07 3.6 3.5 0.405 9.1
Mozambique 2012 Developing 54.8 48 64 1.19 4.990987e+01 76 145 21.3 90 73 5.58 76 6.9 5.665139e+02 2.567666e+06 3.6 3.5 0.400 9.2
Mozambique 2011 Developing 54.3 47 66 0.94 4.080618e+01 76 177 2.9 94 73 6.23 76 9.6 5.265314e+02 2.493950e+05 3.7 3.6 0.397 9.5
Mozambique 2010 Developing 54.0 47 69 0.96 5.743394e+00 74 2321 2.5 98 73 5.38 74 10.8 4.192258e+02 2.422145e+06 3.7 3.6 0.390 9.3
Mozambique 2009 Developing 53.8 4 70 1.18 3.975217e+01 74 60 2.1 101 74 5.43 74 11.3 4.638526e+02 2.352463e+06 3.7 3.6 0.382 9.2
Mozambique 2008 Developing 53.2 45 72 1.48 7.969158e-01 75 4 19.7 104 74 4.91 75 12.6 5.312772e+01 2.284676e+07 3.7 3.7 0.372 8.8
Mozambique 2007 Developing 52.1 425 74 1.03 5.395028e+01 75 267 19.3 108 75 5.25 75 14.1 4.221462e+02 2.218839e+07 3.8 3.7 0.360 8.2
Mozambique 2006 Developing 51.2 434 78 1.20 5.859644e+01 75 183 18.9 113 73 6.51 78 16.3 3.857567e+02 2.154746e+07 3.8 3.7 0.353 7.9
Mozambique 2005 Developing 58.0 434 80 1.23 6.733379e+01 75 12598 18.5 117 71 6.87 8 16.2 3.691545e+02 2.923700e+04 3.9 3.8 0.341 7.3
Mozambique 2004 Developing 54.0 429 82 1.54 4.658196e+01 76 9396 18.1 120 69 5.91 83 15.9 3.363318e+02 2.312750e+05 3.9 3.8 0.332 7.0
Mozambique 2003 Developing 51.0 424 85 1.68 4.252690e+01 76 28898 17.7 124 67 6.39 85 15.3 2.838912e+02 1.971660e+07 4.0 3.9 0.318 6.7
Mozambique 2002 Developing 49.8 416 87 2.16 4.082597e+01 76 7155 17.3 127 76 6.45 76 14.5 2.628846e+02 1.913966e+07 4.0 4.0 0.311 6.2
Mozambique 2001 Developing 49.5 48 90 2.09 3.782512e+01 25 7085 16.9 132 72 5.64 73 13.4 2.564415e+02 1.858876e+07 4.1 4.0 0.298 5.8
Mozambique 2000 Developing 49.0 43 93 1.14 4.717251e+01 NA 7375 16.5 136 69 6.16 7 12.2 2.776487e+02 1.867687e+06 4.2 4.1 0.291 5.4
Myanmar 2015 Developing 66.6 199 39 NA 0.000000e+00 89 6 23.8 50 89 NA 89 0.3 1.194591e+03 5.243669e+06 12.8 13.0 0.552 9.1
Myanmar 2014 Developing 66.4 21 40 0.01 4.533789e+01 88 122 22.9 52 88 2.28 88 0.3 1.262894e+03 5.192418e+07 12.9 13.1 0.547 9.1
Myanmar 2013 Developing 66.2 22 42 0.70 3.833793e+01 75 1010 22.1 55 76 2.16 75 0.4 1.168839e+03 5.144820e+07 12.9 13.2 0.540 9.1
Myanmar 2012 Developing 65.9 25 44 0.55 3.842791e+01 58 2175 21.3 58 87 2.22 84 0.5 1.171583e+03 5.986514e+06 13.0 13.2 0.533 9.1
Myanmar 2011 Developing 65.6 27 47 0.33 2.123699e+01 4 2046 2.5 61 9 1.87 84 0.5 1.186424e+03 5.553310e+05 13.0 13.3 0.526 9.1
Myanmar 2010 Developing 65.4 29 49 0.30 1.748294e+01 92 190 19.8 65 9 1.92 9 0.5 9.877366e+02 5.155896e+06 13.1 13.3 0.515 8.8
Myanmar 2009 Developing 65.2 211 52 0.28 1.105248e+01 91 329 19.1 69 9 2.50 9 0.6 7.417771e+02 4.986900e+04 13.1 13.4 0.504 8.5
Myanmar 2008 Developing 59.2 296 59 0.30 9.530480e+00 85 333 18.3 96 85 1.87 85 0.6 6.439514e+02 4.947975e+07 13.2 13.4 0.493 8.2
Myanmar 2007 Developing 64.5 217 58 0.26 5.305728e-01 85 1088 17.6 78 84 1.68 86 0.6 4.145100e+01 4.917159e+07 13.2 13.5 0.484 8.1
Myanmar 2006 Developing 64.2 22 61 0.28 4.632776e+00 75 760 17.0 83 82 1.78 82 0.6 2.969728e+02 4.884647e+07 13.2 13.5 0.474 8.0
Myanmar 2005 Developing 63.9 224 64 0.28 2.793843e+00 62 314 16.4 87 86 1.83 73 0.5 2.472428e+02 4.848261e+07 13.2 13.6 0.465 7.9
Myanmar 2004 Developing 63.5 228 66 0.44 4.154516e+00 39 1329 15.7 90 92 1.97 82 0.5 2.198157e+02 4.873770e+05 13.3 13.6 0.455 7.8
Myanmar 2003 Developing 63.2 231 69 0.40 3.824212e+00 8 830 15.2 93 86 1.97 78 0.5 2.197823e+02 4.762489e+07 13.3 13.6 0.445 7.7
Myanmar 2002 Developing 62.8 235 71 0.41 3.421881e+00 NA 736 14.6 96 84 2.50 79 0.4 1.437765e+02 4.714220e+05 13.3 13.7 0.435 7.6
Myanmar 2001 Developing 62.5 239 72 0.38 1.917164e+00 NA 2519 14.1 98 77 1.80 73 0.4 1.389249e+02 4.662799e+07 13.3 13.7 0.427 7.6
Myanmar 2000 Developing 62.1 243 73 0.35 2.511437e+00 NA 845 13.6 100 88 1.84 82 0.4 1.931875e+02 4.695462e+06 13.3 13.7 0.417 7.5
Namibia 2015 Developing 65.8 248 2 NA 0.000000e+00 92 212 35.7 3 92 NA 92 2.1 4.737670e+03 2.425561e+06 8.2 8.1 0.637 11.7
Namibia 2014 Developing 65.9 242 2 0.01 7.513983e+02 88 477 34.9 3 88 8.93 88 2.2 5.421344e+03 2.379920e+05 8.6 8.5 0.632 11.7
Namibia 2013 Developing 66.1 232 3 0.01 7.606551e+02 89 1028 34.1 3 89 8.53 89 2.5 5.488132e+03 2.316520e+05 9.0 8.9 0.625 11.6
Namibia 2012 Developing 65.8 232 3 0.01 7.968734e+02 84 86 33.3 4 84 8.24 84 3.7 5.749448e+03 2.263934e+06 9.5 9.4 0.619 11.5
Namibia 2011 Developing 64.3 268 3 7.84 7.896235e+00 82 79 32.5 4 85 8.78 82 4.7 5.697139e+01 2.215621e+06 9.9 9.9 0.612 11.5
Namibia 2010 Developing 63.0 299 3 7.58 7.195535e+02 83 3138 31.8 4 83 7.89 83 6.2 5.191584e+03 2.173170e+05 1.4 1.4 0.604 11.4
Namibia 2009 Developing 62.4 36 3 7.99 5.756748e+02 NA 4076 31.0 4 83 8.50 83 8.7 4.153498e+03 2.137400e+04 1.9 1.9 0.598 11.4
Namibia 2008 Developing 61.7 317 3 6.28 5.955034e+01 NA 0 3.2 4 83 7.15 83 11.7 4.296561e+02 2.163750e+05 11.5 11.4 0.589 11.3
Namibia 2007 Developing 60.0 356 3 5.12 6.211039e+01 NA 21 29.4 4 81 6.99 86 15.2 4.225197e+02 2.799150e+05 12.0 12.0 0.578 11.3
Namibia 2006 Developing 57.0 431 3 4.94 4.591572e+02 NA 3 28.7 4 74 7.20 86 19.2 3.881295e+03 2.557340e+05 12.6 12.6 0.570 11.4
Namibia 2005 Developing 55.1 477 3 4.89 4.577201e+02 NA 4 27.9 4 86 7.32 86 22.1 3.573146e+03 2.321960e+05 13.1 13.1 0.565 11.6
Namibia 2004 Developing 54.7 483 3 4.80 3.682848e+02 NA 4 27.2 4 81 6.47 81 24.0 3.288257e+03 2.922800e+04 13.7 13.7 0.559 11.7
Namibia 2003 Developing 55.0 471 3 5.28 2.946572e+02 NA 262 26.5 4 82 6.52 79 24.7 2.482369e+03 1.986535e+06 14.2 14.3 0.554 11.7
Namibia 2002 Developing 55.7 452 3 5.09 2.037323e+02 NA 1278 25.8 4 78 6.17 77 24.6 1.713476e+03 1.962147e+06 14.7 14.8 0.556 11.8
Namibia 2001 Developing 56.5 426 3 5.09 2.058079e+02 NA 416 25.1 4 79 6.18 78 23.9 1.834295e+03 1.933596e+06 15.2 15.4 0.556 11.7
Namibia 2000 Developing 57.4 41 3 5.73 3.580979e+01 NA 469 24.5 4 8 6.11 79 22.8 2.579956e+02 1.899257e+06 15.7 15.9 0.559 11.5
Nauru 2013 Developing NA NA 0 0.01 1.560660e+01 87 0 87.3 0 87 4.65 87 0.1 1.361832e+02 NA 0.1 0.1 NA 9.6
Nepal 2015 Developing 69.2 165 17 NA 0.000000e+00 91 1599 19.1 21 9 NA 91 0.1 7.437653e+02 2.865628e+07 15.7 16.1 0.555 12.2
Nepal 2014 Developing 69.6 158 18 0.01 8.523486e+00 92 1279 18.5 22 92 5.80 92 0.1 7.623870e+01 2.832324e+07 15.9 16.3 0.551 12.4
Nepal 2013 Developing 69.3 162 19 0.27 8.015505e+01 92 1861 18.0 24 92 5.69 92 0.1 6.886173e+02 2.798531e+06 16.1 16.5 0.545 12.3
Nepal 2012 Developing 68.9 167 20 0.26 8.058788e+01 9 3362 17.4 25 9 5.89 9 0.2 6.817926e+02 2.764993e+07 16.3 16.7 0.538 12.3
Nepal 2011 Developing 68.4 172 22 0.27 1.121229e+02 92 2359 16.9 27 92 6.73 92 0.2 6.921167e+02 2.732715e+07 16.5 16.9 0.529 12.0
Nepal 2010 Developing 68.0 178 23 0.24 8.462303e+01 82 190 16.4 30 83 6.43 82 0.2 5.921835e+02 2.723137e+06 16.7 17.2 0.515 11.1
Nepal 2009 Developing 67.5 183 25 0.22 6.193570e+00 89 189 15.9 32 93 6.41 89 0.2 4.872990e+01 2.674113e+06 16.9 17.4 0.502 10.5
Nepal 2008 Developing 67.0 189 27 0.21 7.027113e+01 82 2089 15.4 35 82 6.44 82 0.2 4.738444e+02 2.647586e+07 17.0 17.6 0.492 10.1
Nepal 2007 Developing 66.6 194 29 0.20 5.222907e+01 82 1415 14.9 38 82 5.84 82 0.2 3.938844e+02 2.621485e+07 17.2 17.8 0.486 10.0
Nepal 2006 Developing 66.0 21 31 0.20 4.587990e+01 69 2838 14.4 41 91 5.70 89 0.2 3.486315e+02 2.594618e+06 17.4 18.0 0.476 9.6
Nepal 2005 Developing 65.4 28 33 0.20 4.259753e+00 41 5023 13.9 44 78 5.72 75 0.2 3.178920e+02 2.564287e+06 17.6 18.2 0.469 9.4
Nepal 2004 Developing 64.7 218 35 0.21 3.193187e+01 27 12074 13.4 47 8 5.82 8 0.2 2.874156e+02 2.539449e+06 17.8 18.4 0.463 9.3
Nepal 2003 Developing 64.3 22 38 0.20 2.790965e+00 2 13344 12.9 50 76 5.48 78 0.1 2.537241e+02 2.495623e+06 18.0 18.6 0.457 9.2
Nepal 2002 Developing 63.1 238 40 0.19 2.318395e+01 NA 6749 12.4 54 72 5.60 72 0.1 2.463756e+02 2.456634e+07 18.2 18.8 0.447 8.6
Nepal 2001 Developing 63.2 23 43 0.09 2.192814e+01 NA 10849 11.9 58 73 5.36 72 0.1 2.486184e+02 2.416178e+07 18.3 19.0 0.446 9.0
Nepal 2000 Developing 62.5 238 46 0.08 1.791234e+01 NA 9397 11.4 62 74 5.43 74 0.1 2.314255e+02 2.374911e+06 18.5 19.2 0.439 8.9
Netherlands 2015 Developed 81.9 57 1 NA 0.000000e+00 94 7 62.1 1 95 NA 95 0.1 4.429288e+04 1.693992e+07 1.0 0.9 0.923 18.1
Netherlands 2014 Developed 81.7 58 1 0.01 1.491704e+03 92 140 61.6 1 96 1.90 96 0.1 5.215747e+04 1.686580e+05 1.0 0.9 0.923 18.1
Netherlands 2013 Developed 81.4 6 1 8.68 1.475030e+03 51 2632 61.0 1 97 11.40 97 0.1 5.157449e+04 1.684432e+06 1.0 0.9 0.922 18.1
Netherlands 2012 Developed 81.1 62 1 9.05 1.162657e+03 2 10 6.5 1 97 11.10 97 0.1 4.947476e+04 1.675496e+07 1.0 0.9 0.921 18.1
Netherlands 2011 Developed 81.1 63 1 8.96 1.047370e+03 2 51 59.9 1 97 1.53 97 0.1 5.354654e+03 1.669374e+06 1.0 0.9 0.911 17.2
Netherlands 2010 Developed 88.0 64 1 9.33 1.035621e+03 NA 15 59.3 1 97 1.48 97 0.1 5.338255e+03 1.661539e+07 1.0 0.9 0.906 17.0
Netherlands 2009 Developed 86.0 65 1 9.23 9.685859e+01 NA 15 58.6 1 97 1.29 97 0.1 5.193490e+02 1.653388e+06 1.0 0.9 0.906 16.9
Netherlands 2008 Developed 83.0 68 1 9.62 1.087341e+04 NA 109 57.9 1 97 9.57 97 0.1 5.692882e+04 1.644559e+07 1.0 0.9 0.905 16.8
Netherlands 2007 Developed 82.0 68 1 9.53 9.689733e+03 NA 10 57.3 1 97 9.36 97 0.1 5.124132e+04 1.638170e+07 1.0 1.0 0.899 16.6
Netherlands 2006 Developed 79.8 71 1 9.79 8.344010e+03 NA 1 56.5 1 96 9.36 96 0.1 4.445397e+04 1.634611e+06 1.0 1.0 0.893 16.5
Netherlands 2005 Developed 79.4 72 1 9.69 6.577508e+03 NA 4 55.8 1 96 9.60 96 0.1 4.157717e+04 1.631987e+07 1.0 1.0 0.888 16.4
Netherlands 2004 Developed 79.2 77 1 9.56 5.170131e+03 NA 11 55.0 1 98 8.52 98 0.1 3.995464e+04 1.628178e+07 1.0 1.0 0.885 16.5
Netherlands 2003 Developed 78.7 8 1 9.56 4.472611e+03 NA 4 54.2 1 98 8.46 98 0.1 3.524516e+04 1.622532e+06 1.1 1.0 0.881 16.5
Netherlands 2002 Developed 78.4 81 1 9.68 3.455197e+03 NA 3 53.4 1 97 8.34 97 0.1 2.881732e+04 1.614893e+07 1.1 1.0 0.882 16.9
Netherlands 2001 Developed 78.3 82 1 9.95 3.054516e+03 NA 0 52.6 1 97 7.79 97 0.1 2.658412e+04 1.646180e+05 1.1 1.1 0.878 16.7
Netherlands 2000 Developed 78.1 84 1 10.06 2.944640e+03 NA 1019 51.8 1 97 7.42 97 0.1 2.592113e+04 1.592551e+07 1.1 1.1 0.873 16.5
New Zealand 2015 Developed 81.6 66 0 8.70 0.000000e+00 92 10 67.5 0 92 NA 92 0.1 3.821894e+03 NA 0.4 0.3 0.913 19.2
New Zealand 2014 Developed 81.5 67 0 9.07 1.040278e+03 93 280 66.9 0 93 11.30 93 0.1 4.453247e+03 NA 0.4 0.3 0.910 19.2
New Zealand 2013 Developed 81.3 69 0 9.18 1.001908e+04 93 8 66.4 0 92 11.17 92 0.1 4.288988e+04 NA 0.3 0.3 0.908 19.3
New Zealand 2012 Developed 81.1 7 0 9.20 9.245654e+02 93 68 65.9 0 93 11.53 93 0.1 3.997256e+03 NA 0.3 0.3 0.904 19.5
New Zealand 2011 Developed 86.0 72 0 9.47 8.342406e+03 95 597 65.3 0 95 11.24 95 0.1 3.842656e+04 NA 0.3 0.3 0.901 19.7
New Zealand 2010 Developed 89.0 71 0 9.62 6.664149e+03 9 43 64.8 0 93 11.20 93 0.1 3.369135e+04 NA 0.3 0.3 0.899 20.3
New Zealand 2009 Developed 85.0 73 0 9.24 6.357705e+01 93 198 64.3 0 92 11.21 92 0.1 2.829419e+02 NA 0.3 0.3 0.895 19.3
New Zealand 2008 Developed 81.0 75 0 9.49 6.761289e+03 9 0 63.8 0 89 1.70 89 0.1 3.128778e+04 NA 0.3 0.3 0.894 19.5
New Zealand 2007 Developed 81.0 76 0 9.19 6.063107e+02 88 25 63.2 0 88 8.35 88 0.1 3.259735e+03 NA 0.3 0.3 0.891 19.2
New Zealand 2006 Developed 79.9 76 0 9.34 4.962228e+02 87 20 62.6 0 89 8.65 89 0.1 2.667865e+03 NA 0.3 0.3 0.888 19.1
New Zealand 2005 Developed 79.9 78 0 9.31 4.910559e+02 87 20 62.1 0 89 8.25 89 0.1 2.775895e+03 NA 0.3 0.3 0.886 18.9
New Zealand 2004 Developed 79.2 79 0 9.15 4.423775e+02 88 33 61.5 0 87 7.89 89 0.1 2.542399e+03 NA 0.3 0.3 0.884 18.4
New Zealand 2003 Developed 79.1 82 0 8.91 3.661793e+03 89 66 6.9 0 86 7.71 9 0.1 2.191378e+04 NA 0.3 0.3 0.881 18.2
New Zealand 2002 Developed 78.7 83 0 9.13 2.892257e+03 89 21 6.3 0 84 7.89 9 0.1 1.687431e+04 NA 0.3 0.3 0.873 17.5
New Zealand 2001 Developed 78.5 83 0 8.75 2.205986e+03 9 65 59.6 0 82 7.58 9 0.1 1.388286e+04 NA 0.3 0.3 0.868 17.4
New Zealand 2000 Developed 78.6 87 0 8.91 2.143021e+03 9 65 58.9 0 82 7.47 9 0.1 1.364113e+04 NA 0.3 0.3 0.864 17.2
Nicaragua 2015 Developing 74.8 145 2 NA 0.000000e+00 98 0 54.0 2 99 NA 98 0.1 2.959665e+02 6.823500e+04 1.8 1.7 0.642 11.7
Nicaragua 2014 Developing 74.5 148 2 3.55 4.731238e+02 98 0 53.2 3 99 9.40 98 0.1 1.975465e+03 6.139970e+05 1.8 1.7 0.636 11.6
Nicaragua 2013 Developing 73.9 157 2 3.58 3.664842e+02 98 0 52.4 3 99 8.43 98 0.1 1.847198e+03 5.945747e+06 1.8 1.7 0.630 11.5
Nicaragua 2012 Developing 73.9 157 2 3.63 3.348174e+02 98 0 51.7 3 99 8.40 98 0.1 1.792384e+03 5.877180e+05 1.8 1.7 0.625 11.5
Nicaragua 2011 Developing 74.5 147 3 3.39 3.216133e+02 98 0 5.9 3 99 6.39 98 0.1 1.682958e+03 5.878200e+04 1.8 1.8 0.620 11.5
Nicaragua 2010 Developing 73.2 154 3 3.38 3.027045e+02 98 0 5.2 3 99 6.58 98 0.1 1.526498e+03 5.737723e+06 1.9 1.8 0.614 11.4
Nicaragua 2009 Developing 73.2 163 3 3.36 2.927531e+02 98 0 49.4 3 99 6.82 98 0.2 1.464498e+03 5.666581e+06 1.9 1.8 0.613 11.3
Nicaragua 2008 Developing 72.5 169 3 3.64 2.750644e+02 97 0 48.6 3 97 6.98 97 0.2 1.518854e+03 5.594560e+05 1.9 1.8 0.607 11.1
Nicaragua 2007 Developing 72.5 173 3 3.83 2.530008e+02 93 0 47.9 4 93 6.91 93 0.2 1.344319e+03 5.522160e+05 2.0 1.9 0.601 11.0
Nicaragua 2006 Developing 73.0 17 3 3.69 2.141124e+01 88 0 47.1 4 88 6.33 88 0.3 1.249926e+02 5.452110e+05 2.0 1.9 0.597 11.0
Nicaragua 2005 Developing 71.2 194 3 3.70 2.185716e+02 86 0 46.4 4 87 6.11 86 0.3 1.175116e+03 5.379328e+06 2.0 1.9 0.592 11.0
Nicaragua 2004 Developing 71.0 194 4 3.81 3.681621e+01 79 0 45.7 4 8 6.13 79 0.3 1.915516e+02 5.397300e+04 2.1 2.0 0.587 11.0
Nicaragua 2003 Developing 76.0 198 4 3.77 2.542437e+00 86 0 44.9 5 86 6.12 86 0.3 1.155653e+02 5.248790e+05 2.1 2.0 0.583 11.0
Nicaragua 2002 Developing 75.0 197 4 3.50 2.092344e+00 85 0 44.2 5 85 5.71 85 0.4 1.114728e+01 5.171734e+06 2.2 2.1 0.577 10.7
Nicaragua 2001 Developing 73.0 193 4 3.51 2.235595e+01 87 0 43.5 5 89 5.26 87 0.4 1.436758e+02 5.175000e+03 2.2 2.1 0.570 10.4
Nicaragua 2000 Developing 73.0 192 4 3.61 1.525519e+01 83 0 42.8 5 85 5.39 83 0.4 1.162743e+02 5.267960e+05 2.2 2.1 0.562 10.1
Niger 2015 Developing 61.8 22 49 NA 0.000000e+00 65 7693 19.3 87 65 NA 65 0.4 3.589973e+02 1.989697e+07 9.6 9.4 0.351 5.4
Niger 2014 Developing 61.4 223 49 0.01 3.304040e+00 68 1142 18.9 88 67 5.82 68 0.5 4.364650e+01 1.914822e+07 9.8 9.6 0.345 5.3
Niger 2013 Developing 69.0 227 49 0.01 3.150243e+01 67 1224 18.5 89 56 5.90 67 0.6 4.161484e+02 1.842637e+07 1.0 9.9 0.341 5.3
Niger 2012 Developing 63.0 232 49 0.01 2.975518e+01 71 272 18.1 90 71 6.11 71 0.7 3.915155e+02 1.773163e+07 1.3 1.1 0.331 5.1
Niger 2011 Developing 59.4 241 50 0.15 3.222493e+01 75 771 17.7 93 4 6.66 75 0.7 3.755820e+02 1.764636e+06 1.5 1.3 0.323 4.8
Niger 2010 Developing 58.2 252 50 0.12 5.883761e+00 7 372 17.3 95 75 6.36 7 0.9 3.481515e+02 1.642558e+07 1.7 1.6 0.312 4.5
Niger 2009 Developing 57.1 263 51 0.11 5.665405e+00 71 801 16.9 99 71 6.98 71 1.1 3.412895e+02 1.581391e+07 11.0 1.8 0.307 4.2
Niger 2008 Developing 56.0 272 52 0.12 4.037836e+01 NA 1317 16.5 102 68 6.76 67 1.3 3.548186e+02 1.522853e+07 11.2 11.0 0.298 4.0
Niger 2007 Developing 55.2 276 53 0.10 3.580930e+01 NA 282 16.1 106 57 6.94 57 1.4 2.925596e+02 1.466834e+07 11.4 11.3 0.293 3.8
Niger 2006 Developing 54.5 277 54 0.11 4.342193e+01 NA 59 15.7 110 52 7.39 51 1.5 2.584639e+02 1.413264e+06 11.6 11.5 0.286 3.7
Niger 2005 Developing 53.7 278 55 0.11 3.751715e+00 NA 2183 15.4 114 46 7.15 45 1.6 2.538373e+01 1.361845e+07 11.9 11.8 0.278 3.5
Niger 2004 Developing 52.9 279 56 0.11 2.086118e+01 NA 63057 15.0 118 45 6.61 43 1.6 2.325662e+02 1.312712e+06 12.1 12.0 0.270 3.1
Niger 2003 Developing 52.1 28 56 0.10 2.026877e+01 NA 54190 14.6 121 44 6.23 41 1.6 2.158548e+02 1.265687e+06 12.3 12.2 0.266 3.0
Niger 2002 Developing 51.4 282 57 0.10 1.758723e+01 NA 31584 14.3 124 43 6.55 39 1.6 1.778284e+02 1.226200e+04 12.5 12.5 0.261 2.9
Niger 2001 Developing 56.0 283 57 0.11 1.817830e+00 NA 61208 13.9 127 42 7.10 36 1.6 1.652572e+02 1.177198e+07 12.7 12.7 0.255 2.9
Niger 2000 Developing 50.0 284 58 0.10 1.335784e+01 NA 21319 13.6 128 41 6.10 34 1.5 1.584560e+02 1.135297e+07 12.8 12.9 0.253 2.8
Nigeria 2015 Developing 54.5 344 483 NA 0.000000e+00 49 12423 25.4 747 49 NA 49 3.7 2.655158e+03 1.811817e+08 9.8 9.7 0.525 10.0
Nigeria 2014 Developing 53.6 362 490 0.01 2.632111e+02 49 6855 24.7 759 49 3.67 49 3.9 3.221678e+03 1.764652e+06 1.1 9.9 0.521 10.0
Nigeria 2013 Developing 53.2 367 498 8.30 1.942033e+02 46 52852 24.1 773 46 3.70 46 3.9 2.996964e+03 1.718293e+07 1.4 1.2 0.514 9.8
Nigeria 2012 Developing 52.7 374 505 8.54 2.047186e+02 42 6447 23.5 788 42 3.30 42 4.4 2.755298e+03 1.672973e+08 1.7 1.6 0.507 9.7
Nigeria 2011 Developing 52.3 375 513 8.75 1.875733e+02 46 18843 22.8 802 48 3.69 48 4.7 2.527942e+03 1.628778e+07 11.0 1.9 0.500 9.6
Nigeria 2010 Developing 52.0 374 521 8.90 1.331231e+02 49 8491 22.2 817 54 3.47 54 4.8 2.327327e+03 1.585783e+08 11.3 11.2 0.492 9.5
Nigeria 2009 Developing 51.6 376 527 9.05 1.456765e+01 63 1272 21.6 832 66 4.24 63 4.9 1.976614e+02 1.544218e+07 11.7 11.6 0.487 9.3
Nigeria 2008 Developing 59.0 386 536 9.30 1.055911e+02 41 9960 21.0 848 6 4.00 53 5.0 1.383893e+03 1.534739e+06 12.0 11.9 0.481 9.2
Nigeria 2007 Developing 55.0 388 542 9.55 1.044746e+02 42 2613 2.4 863 54 4.47 42 5.2 1.136830e+03 1.464172e+07 12.3 12.3 0.477 9.1
Nigeria 2006 Developing 49.8 396 549 9.66 1.035779e+01 27 704 19.9 879 46 3.66 4 5.3 1.197433e+02 1.426149e+07 12.6 12.6 0.466 9.0
Nigeria 2005 Developing 49.2 4 556 9.71 6.416253e+00 18 110927 19.3 893 45 4.11 36 5.4 8.789387e+01 1.389395e+08 12.9 12.9 0.463 8.9
Nigeria 2004 Developing 48.5 47 563 9.76 5.722556e+01 NA 31521 18.8 907 43 4.33 33 5.4 6.488159e+02 1.353936e+08 13.2 13.2 0.445 8.5
Nigeria 2003 Developing 48.1 41 567 9.75 3.019551e+01 NA 141258 18.3 918 42 4.50 29 5.4 5.126572e+02 1.319725e+08 13.5 13.6 0.000 8.1
Nigeria 2002 Developing 47.7 49 571 9.61 1.713775e+01 NA 42007 17.8 928 4 2.43 25 5.3 4.594572e+02 1.286667e+07 13.8 13.8 0.000 7.7
Nigeria 2001 Developing 47.4 48 574 9.58 1.583099e+01 NA 168107 17.3 936 36 3.25 27 5.1 3.517997e+02 1.254634e+08 14.1 14.1 0.000 8.0
Nigeria 2000 Developing 47.1 45 576 9.23 2.248178e+01 NA 212183 16.9 943 31 2.84 29 4.9 3.791193e+02 1.223529e+06 14.3 14.4 0.000 7.6
Niue 2013 Developing NA NA 0 0.01 0.000000e+00 99 0 77.3 0 99 7.20 99 0.1 NA NA 0.1 0.1 NA NA
Norway 2015 Developed 81.8 59 0 5.97 0.000000e+00 NA 14 61.2 0 95 NA 95 0.1 7.455247e+03 5.188670e+05 0.8 0.7 0.948 17.7
Norway 2014 Developed 81.6 61 0 6.06 1.776383e+02 NA 3 6.8 0 93 9.72 93 0.1 9.754986e+02 5.137232e+06 0.8 0.7 0.945 17.7
Norway 2013 Developed 81.5 62 0 6.21 2.347829e+02 NA 8 6.3 0 94 9.39 94 0.1 1.291435e+03 5.796230e+05 0.8 0.7 0.942 17.5
Norway 2012 Developed 81.3 61 0 6.21 2.094191e+03 NA 4 59.8 0 95 9.16 95 0.1 1.156373e+04 5.185730e+05 0.7 0.7 0.941 17.6
Norway 2011 Developed 81.1 67 0 6.53 2.773551e+02 NA 39 59.4 0 94 9.14 94 0.1 1.574986e+03 4.953880e+05 0.7 0.7 0.939 17.6
Norway 2010 Developed 81.0 66 0 6.59 1.526806e+04 NA 3 58.9 0 93 9.26 93 0.1 8.764675e+04 4.889252e+06 0.7 0.7 0.936 17.4
Norway 2009 Developed 89.0 67 0 6.68 1.423749e+02 NA 2 58.5 0 94 9.49 94 0.1 8.177768e+02 4.828726e+06 0.7 0.7 0.936 17.4
Norway 2008 Developed 86.0 67 0 6.75 1.707131e+03 NA 4 58.0 0 94 8.40 94 0.1 9.688596e+03 4.768212e+06 0.7 0.7 0.936 17.6
Norway 2007 Developed 85.0 67 0 6.60 1.482941e+04 NA 0 57.5 0 93 8.58 93 0.1 8.512866e+04 4.791530e+05 0.7 0.7 0.934 17.6
Norway 2006 Developed 84.0 7 0 6.47 1.282925e+04 NA 0 57.0 0 94 8.43 94 0.1 7.411470e+04 4.666770e+05 0.8 0.7 0.931 17.5
Norway 2005 Developed 81.0 73 0 6.37 1.179253e+04 NA 0 56.5 0 91 8.89 91 0.1 6.677539e+04 4.623291e+06 0.8 0.7 0.929 17.6
Norway 2004 Developed 79.8 77 0 6.22 1.009825e+03 NA 7 55.9 0 92 9.44 92 0.1 5.757269e+03 4.591910e+05 0.8 0.7 0.924 17.5
Norway 2003 Developed 79.4 78 0 6.04 8.807381e+02 NA 8 55.3 0 92 9.85 92 0.1 5.111654e+03 4.564855e+06 0.8 0.7 0.918 17.1
Norway 2002 Developed 78.9 81 0 5.89 7.496823e+02 NA 5 54.6 0 93 9.62 93 0.1 4.361154e+03 4.538159e+06 0.8 0.7 0.916 17.1
Norway 2001 Developed 78.8 82 0 5.49 6.356827e+03 NA 4 54.0 0 91 8.65 91 0.1 3.854959e+04 4.513751e+06 0.8 0.7 0.917 17.5
Norway 2000 Developed 78.5 85 0 5.67 6.191212e+03 NA 0 53.3 0 91 8.27 9 0.1 3.814672e+04 4.499670e+05 0.8 0.7 0.911 17.1
Oman 2015 Developing 76.6 99 1 NA 0.000000e+00 99 0 54.6 1 99 NA 99 0.1 1.662736e+04 NA 7.1 6.9 0.795 13.7
Oman 2014 Developing 76.4 11 1 0.40 1.661914e+02 99 0 53.5 1 99 3.55 99 0.1 2.458452e+03 NA 7.1 6.9 0.796 13.7
Oman 2013 Developing 76.2 12 1 0.46 1.154893e+03 98 0 52.8 1 99 2.76 98 0.1 2.126876e+04 NA 7.0 6.8 0.796 13.7
Oman 2012 Developing 76.0 14 1 0.51 1.055835e+03 98 13 52.3 1 99 2.52 98 0.1 2.213492e+04 NA 7.0 6.8 0.797 13.7
Oman 2011 Developing 75.8 15 1 0.54 1.582771e+02 99 5 52.0 1 99 2.49 99 0.1 2.986360e+03 NA 6.9 6.8 0.797 13.6
Oman 2010 Developing 75.6 16 1 0.56 1.292261e+02 99 3 51.8 1 99 2.74 99 0.1 1.928747e+03 NA 6.9 6.8 0.797 13.5
Oman 2009 Developing 75.4 18 1 0.56 1.040629e+03 98 19 51.5 1 96 2.83 98 0.1 1.678435e+04 NA 6.9 6.8 0.782 12.4
Oman 2008 Developing 75.2 19 1 0.57 1.230966e+02 99 18 51.1 1 97 2.10 99 0.1 2.275354e+03 NA 6.9 6.8 0.765 11.9
Oman 2007 Developing 74.9 113 1 0.57 8.845038e+01 99 24 5.6 1 97 2.43 99 0.1 1.585132e+03 NA 7.0 6.8 0.753 11.5
Oman 2006 Developing 74.7 115 1 0.58 7.851141e+01 99 13 5.1 1 98 2.31 98 0.1 1.448550e+03 NA 7.0 6.8 0.748 11.6
Oman 2005 Developing 74.3 118 1 0.63 8.540116e+02 99 25 49.5 1 99 2.59 99 0.1 1.237698e+04 NA 7.0 6.8 0.742 11.5
Oman 2004 Developing 74.0 122 1 0.61 7.046762e+01 99 18 48.9 1 99 2.98 99 0.1 1.129289e+03 NA 7.1 6.8 0.734 11.5
Oman 2003 Developing 73.6 127 1 0.56 6.565631e+01 99 1 48.1 1 99 3.17 99 0.1 9.698126e+02 NA 7.1 6.8 0.725 11.2
Oman 2002 Developing 73.3 13 1 0.54 5.859171e+02 99 5 47.3 1 99 3.18 99 0.1 8.629118e+03 NA 7.1 6.8 0.716 11.0
Oman 2001 Developing 72.9 134 1 0.55 5.645426e+02 99 15 46.5 1 99 3.80 99 0.1 8.476615e+03 NA 7.1 6.9 0.705 10.7
Oman 2000 Developing 72.6 138 1 0.38 6.286658e+01 99 15 45.9 1 99 3.70 99 0.1 8.611860e+02 NA 7.2 6.9 0.000 10.4
Pakistan 2015 Developing 66.4 161 352 NA 0.000000e+00 72 386 25.4 433 72 NA 72 0.1 1.431245e+03 1.893851e+07 19.2 19.6 0.548 8.1
Pakistan 2014 Developing 66.2 162 359 0.01 6.229361e+01 72 1370 24.7 442 72 2.61 72 0.1 1.316990e+03 1.855463e+08 19.4 19.8 0.542 7.8
Pakistan 2013 Developing 66.0 163 365 0.04 6.018649e+01 72 8749 23.9 450 72 2.70 72 0.1 1.272442e+03 1.817126e+08 19.6 2.0 0.538 7.7
Pakistan 2012 Developing 65.7 165 369 0.04 5.965900e+01 72 8046 23.2 456 72 2.76 72 0.1 1.261290e+03 1.779115e+08 19.8 2.2 0.529 7.6
Pakistan 2011 Developing 65.5 167 371 0.04 5.787736e+01 74 4386 22.5 459 75 3.10 74 0.1 1.226215e+03 1.741843e+08 2.0 2.4 0.525 7.5
Pakistan 2010 Developing 65.1 172 372 0.04 6.675150e-01 82 4321 21.9 461 82 3.20 82 0.1 1.414227e+01 1.756182e+06 2.2 2.7 0.521 7.5
Pakistan 2009 Developing 64.8 175 371 0.03 6.972156e-01 78 863 21.3 460 7 2.94 71 0.1 1.663999e+01 1.674958e+06 2.5 2.9 0.514 7.3
Pakistan 2008 Developing 64.6 177 369 0.03 5.447134e+00 65 1129 2.6 460 7 3.26 62 0.1 1.393129e+02 1.636446e+07 2.7 21.1 0.513 7.3
Pakistan 2007 Developing 64.4 178 367 0.03 3.912745e+00 75 2801 2.1 459 75 3.35 75 0.1 9.543279e+01 1.633297e+07 2.8 21.3 0.505 6.7
Pakistan 2006 Developing 64.2 179 365 0.03 4.036830e+01 78 7641 19.5 458 77 3.40 78 0.1 8.737727e+02 1.579399e+07 21.0 21.5 0.501 6.5
Pakistan 2005 Developing 62.9 2 364 0.04 3.059321e+01 7 2981 18.9 459 78 2.91 77 0.1 7.114699e+02 1.539967e+07 21.2 21.7 0.487 6.1
Pakistan 2004 Developing 63.7 183 364 0.01 2.898323e+01 65 4248 18.4 461 65 2.56 65 0.1 6.498482e+02 1.578300e+04 21.4 21.8 0.474 5.6
Pakistan 2003 Developing 63.5 185 366 0.01 2.423456e+01 63 4740 17.9 466 69 2.61 67 0.1 5.635943e+02 1.477341e+06 21.6 22.0 0.465 5.6
Pakistan 2002 Developing 63.2 187 371 0.01 2.239388e+01 NA 3903 17.4 474 71 2.76 68 0.1 4.998633e+02 1.446541e+08 21.8 22.2 0.457 5.5
Pakistan 2001 Developing 63.0 189 377 0.01 1.766663e+00 NA 3849 16.9 483 68 2.61 65 0.1 5.165682e+01 1.416144e+07 22.0 22.4 0.450 5.4
Pakistan 2000 Developing 62.8 19 385 0.02 1.884534e+01 NA 2064 16.4 495 65 2.79 62 0.1 5.338624e+02 1.385233e+08 22.2 22.6 0.445 5.3
Palau 2013 Developing NA NA 0 NA 3.446906e+02 99 0 83.3 0 99 9.27 99 0.1 1.932122e+03 2.920000e+02 0.1 0.1 0.779 14.2
Panama 2015 Developing 77.8 118 1 NA 0.000000e+00 73 0 57.8 1 72 NA 73 0.1 1.313444e+04 3.969249e+06 1.9 1.8 0.785 13.0
Panama 2014 Developing 77.6 119 1 6.74 1.842464e+03 8 0 57.1 1 8 8.30 8 0.1 1.259374e+04 3.939860e+05 1.9 1.8 0.780 13.0
Panama 2013 Developing 77.5 118 1 6.89 1.694467e+03 8 0 56.3 1 81 8.90 8 0.1 1.168598e+04 3.838462e+06 1.9 1.9 0.773 12.9
Panama 2012 Developing 77.2 12 1 6.95 2.017491e+02 85 0 55.6 1 87 7.25 85 0.1 1.589827e+03 3.772938e+06 1.9 1.9 0.765 12.8
Panama 2011 Developing 77.3 121 1 6.90 1.192124e+02 87 4 54.9 1 91 7.50 87 0.1 9.277232e+02 3.777820e+05 2.0 1.9 0.758 12.9
Panama 2010 Developing 76.5 122 1 6.94 1.199320e+03 94 0 54.2 2 95 8.50 94 0.1 7.937260e+03 3.643222e+06 2.0 1.9 0.756 12.8
Panama 2009 Developing 76.8 127 1 6.87 1.092155e+03 85 0 53.4 2 85 7.56 85 0.1 7.429628e+03 3.579385e+06 2.0 1.9 0.755 12.8
Panama 2008 Developing 76.5 127 1 6.74 9.568230e+02 86 0 52.7 2 86 6.75 86 0.1 6.973928e+03 3.516268e+06 2.0 2.0 0.750 12.8
Panama 2007 Developing 76.4 124 1 6.16 7.625080e+01 85 0 51.9 2 84 6.31 85 0.2 6.688667e+02 3.453870e+05 2.1 2.0 0.743 12.9
Panama 2006 Developing 76.2 125 1 5.72 6.311252e+02 88 0 51.1 2 98 7.00 88 0.1 5.348518e+03 3.391950e+05 2.1 2.0 0.744 12.9
Panama 2005 Developing 75.8 122 1 5.53 6.239101e+02 92 0 5.3 2 88 7.48 92 0.1 4.916549e+03 3.334650e+05 2.1 2.1 0.740 12.9
Panama 2004 Developing 75.8 123 1 5.69 5.276085e+02 95 0 49.5 2 92 8.90 95 0.2 4.591893e+03 3.269541e+06 2.2 2.1 0.733 12.8
Panama 2003 Developing 75.5 126 1 5.52 5.845976e+01 98 0 48.6 2 95 7.60 98 0.1 4.267136e+03 3.291740e+05 2.2 2.2 0.728 12.8
Panama 2002 Developing 75.7 125 1 5.52 7.880940e+01 98 0 47.8 2 99 8.30 99 0.2 4.126147e+03 3.149265e+06 2.3 2.2 0.725 12.6
Panama 2001 Developing 75.5 124 2 5.43 7.320514e+00 98 0 46.9 2 95 7.72 99 0.1 4.463728e+02 3.896840e+05 2.3 2.3 0.721 12.4
Panama 2000 Developing 75.7 121 2 5.58 9.871021e+00 NA 0 45.9 2 99 7.76 98 0.2 4.629935e+01 3.334700e+04 2.4 2.3 0.716 12.1
Papua New Guinea 2015 Developing 62.9 275 10 NA 0.000000e+00 67 38 48.6 12 74 NA 73 0.6 NA 7.919825e+06 1.3 1.3 0.515 10.0
Papua New Guinea 2014 Developing 62.7 278 10 0.01 2.082312e+02 67 2299 47.9 13 64 4.26 73 0.7 2.182717e+03 7.755785e+06 1.3 1.3 0.511 10.0
Papua New Guinea 2013 Developing 62.4 281 10 0.01 2.570882e+01 73 12 47.2 13 8 4.78 79 0.8 2.299536e+02 7.592865e+06 1.3 1.3 0.506 10.0
Papua New Guinea 2012 Developing 62.2 284 10 0.01 3.163577e+01 68 0 46.4 13 81 4.55 74 1.0 2.713187e+02 7.438360e+05 1.3 1.3 0.501 9.9
Papua New Guinea 2011 Developing 62.0 285 10 0.88 2.340731e+01 66 0 45.7 13 69 4.94 72 1.0 1.778671e+02 7.269348e+06 1.3 1.3 0.494 9.9
Papua New Guinea 2010 Developing 61.8 286 10 0.79 1.899962e+01 56 0 44.9 14 72 4.18 67 1.1 1.366879e+03 7.182390e+05 1.4 1.3 0.485 9.6
Papua New Guinea 2009 Developing 61.6 288 11 0.82 2.053328e+01 66 0 44.2 14 79 4.36 73 1.1 1.166663e+03 6.947447e+06 1.4 1.3 0.477 9.2
Papua New Guinea 2008 Developing 61.4 29 11 0.81 1.037278e+02 59 0 43.4 14 76 4.60 63 1.3 1.178725e+03 6.787187e+06 1.4 1.3 0.469 8.9
Papua New Guinea 2007 Developing 61.1 295 11 0.71 8.571754e+01 61 0 42.7 14 72 4.40 71 1.4 9.566690e+02 6.627922e+06 1.4 1.3 0.461 8.6
Papua New Guinea 2006 Developing 68.0 299 11 0.64 1.266142e+02 71 1 41.9 14 67 5.92 72 1.5 8.543469e+02 6.472720e+05 1.4 1.4 0.454 8.2
Papua New Guinea 2005 Developing 64.0 37 11 0.84 1.205552e+01 63 1222 41.1 15 61 6.42 72 1.5 7.757735e+01 6.314790e+05 1.4 1.4 0.446 7.9
Papua New Guinea 2004 Developing 59.9 314 11 0.58 1.580019e+02 6 1385 4.4 15 59 8.39 62 1.5 6.373616e+02 6.161517e+06 1.5 1.4 0.439 7.6
Papua New Guinea 2003 Developing 59.6 321 11 0.59 1.243789e+02 67 3863 39.6 14 62 6.79 68 1.4 5.883583e+02 6.172400e+04 1.5 1.4 0.433 7.2
Papua New Guinea 2002 Developing 59.3 327 11 0.61 1.109803e+02 6 17620 38.9 14 54 7.69 61 1.4 5.116658e+02 5.862316e+06 1.5 1.5 0.428 6.9
Papua New Guinea 2001 Developing 59.1 331 11 0.68 9.337278e+01 59 4023 38.2 14 52 6.68 55 1.3 5.394153e+02 5.716152e+06 1.5 1.5 0.422 6.6
Papua New Guinea 2000 Developing 58.9 335 11 0.73 6.256274e+01 57 7135 37.5 14 51 3.98 59 1.1 6.319469e+02 5.572222e+06 1.6 1.5 0.418 6.2
Paraguay 2015 Developing 74.0 146 2 NA 0.000000e+00 93 0 5.2 3 89 NA 93 0.2 4.193677e+02 6.639119e+06 2.0 1.9 0.692 12.3
Paraguay 2014 Developing 73.9 147 3 0.01 5.617685e+02 87 0 49.4 3 83 9.81 87 0.2 4.712823e+03 6.552584e+06 2.0 1.9 0.688 12.3
Paraguay 2013 Developing 73.8 148 3 5.03 5.734347e+02 86 0 48.6 3 8 1.49 86 0.2 4.479959e+03 6.465740e+05 2.0 1.9 0.679 12.3
Paraguay 2012 Developing 73.6 148 3 5.36 4.418446e+02 87 0 47.9 3 83 1.33 87 0.1 3.855538e+03 6.379219e+06 2.0 2.0 0.679 12.3
Paraguay 2011 Developing 73.4 15 3 5.79 4.721933e+02 89 0 47.1 3 84 9.42 89 0.1 3.988119e+03 6.293783e+06 2.1 2.0 0.675 12.3
Paraguay 2010 Developing 73.2 152 3 5.65 3.599760e+02 89 0 46.4 3 85 9.10 89 0.1 3.225592e+03 6.298770e+05 2.1 2.0 0.664 12.4
Paraguay 2009 Developing 73.0 155 3 5.39 3.093520e+01 85 0 45.6 3 81 9.14 85 0.1 2.599596e+03 6.127837e+06 2.1 2.0 0.663 12.1
Paraguay 2008 Developing 72.7 157 3 6.14 3.473925e+01 87 0 44.9 4 85 7.60 89 0.1 3.599922e+02 6.471170e+05 2.1 2.1 0.654 11.9
Paraguay 2007 Developing 72.5 159 3 5.61 3.186202e+02 86 0 44.2 4 95 6.41 95 0.1 2.312193e+03 5.966159e+06 2.2 2.1 0.649 12.0
Paraguay 2006 Developing 72.3 161 3 5.61 2.618072e+01 92 0 43.5 4 98 6.43 98 0.2 1.897154e+02 5.882796e+06 2.2 2.2 0.648 12.1
Paraguay 2005 Developing 72.1 163 3 6.38 2.068037e+01 92 0 42.8 4 96 6.70 96 0.2 1.571457e+02 5.795494e+06 2.3 2.2 0.646 12.3
Paraguay 2004 Developing 71.9 165 3 6.20 2.060083e+01 9 0 42.0 4 92 5.78 92 0.2 1.485280e+02 5.737400e+04 2.3 2.2 0.639 12.1
Paraguay 2003 Developing 71.7 166 4 6.64 1.554233e+02 86 0 41.3 4 86 5.99 86 0.1 1.174779e+03 5.679500e+04 2.4 2.3 0.642 12.7
Paraguay 2002 Developing 71.5 168 4 5.66 1.528294e+02 NA 0 4.6 4 87 6.77 87 0.1 1.148230e+03 5.586110e+05 2.4 2.3 0.632 12.2
Paraguay 2001 Developing 71.2 17 4 6.66 2.338489e+02 NA 0 39.8 5 9 7.61 89 0.1 1.417266e+03 5.466240e+05 2.5 2.4 0.624 11.8
Paraguay 2000 Developing 79.0 172 4 6.78 2.735759e+02 NA 0 39.1 5 86 8.10 86 0.1 1.545626e+03 5.327000e+03 2.5 2.4 0.625 11.6
Peru 2015 Developing 75.5 123 8 NA 0.000000e+00 9 4 55.6 10 88 NA 9 0.1 6.334326e+01 3.137667e+07 1.1 1.1 0.737 13.4
Peru 2014 Developing 75.3 125 8 0.01 9.737287e+02 88 0 54.9 10 78 5.47 88 0.1 6.491525e+03 3.973354e+06 1.1 1.1 0.735 13.4
Peru 2013 Developing 75.3 125 8 5.38 9.466521e+02 88 0 54.2 11 71 5.23 88 0.1 6.583116e+03 3.565716e+06 1.1 1.1 0.731 13.4
Peru 2012 Developing 74.9 129 9 5.14 8.859858e+02 95 0 53.6 11 94 5.18 95 0.1 6.387785e+03 3.158966e+06 1.1 1.1 0.725 13.4
Peru 2011 Developing 74.5 133 9 4.83 7.595381e+02 91 0 52.9 12 91 4.93 91 0.2 5.771566e+03 2.975999e+07 1.1 1.1 0.721 13.4
Peru 2010 Developing 73.7 14 10 4.72 6.943935e+01 93 0 52.2 12 92 5.30 93 0.2 5.224932e+02 2.937365e+07 1.1 1.1 0.708 13.3
Peru 2009 Developing 73.8 14 10 4.69 5.704532e+02 93 0 51.5 13 92 5.36 93 0.3 4.166934e+03 2.915700e+04 1.2 1.2 0.706 13.3
Peru 2008 Developing 73.9 138 11 4.85 5.849897e+01 93 1 5.8 14 93 4.73 93 0.3 4.288781e+02 2.864198e+06 1.2 1.2 0.700 13.2
Peru 2007 Developing 74.0 133 11 4.29 5.164037e+02 93 0 5.2 15 93 4.60 93 0.3 3.611215e+03 2.829272e+07 1.2 1.2 0.696 13.2
Peru 2006 Developing 74.2 134 12 4.22 4.487670e+02 94 0 49.5 15 94 4.47 94 0.4 3.171499e+03 2.794994e+07 1.2 1.2 0.693 13.0
Peru 2005 Developing 72.8 148 13 4.44 4.115646e+02 94 0 48.8 16 66 4.72 77 0.4 2.754783e+03 2.761410e+05 1.3 1.3 0.692 13.0
Peru 2004 Developing 72.2 151 14 4.27 3.569394e+02 92 0 48.1 18 81 4.56 86 0.4 2.448144e+03 2.727319e+07 1.3 1.3 0.685 12.8
Peru 2003 Developing 72.1 152 15 4.50 3.470334e+01 65 0 47.4 19 95 4.60 94 0.4 2.182600e+02 2.693774e+07 1.3 1.3 0.686 13.3
Peru 2002 Developing 72.6 144 16 4.03 4.053778e+01 NA 0 46.7 20 95 4.94 95 0.4 2.591930e+02 2.661467e+06 1.4 1.4 0.686 13.9
Peru 2001 Developing 72.4 142 17 4.22 3.025359e+02 NA 0 46.1 22 9 4.98 9 0.5 1.981244e+03 2.626136e+07 1.4 1.4 0.677 13.4
Peru 2000 Developing 71.4 154 18 4.59 2.975112e+02 NA 1 45.4 24 93 4.83 98 0.5 1.996720e+03 2.591488e+07 1.4 1.4 0.674 13.5
Philippines 2015 Developing 68.5 211 52 NA 0.000000e+00 6 619 25.4 66 79 NA 6 0.1 2.878338e+03 1.171636e+07 1.0 9.7 0.679 11.7
Philippines 2014 Developing 68.4 214 54 4.52 3.127232e+01 67 58848 24.8 68 77 4.71 67 0.1 2.842938e+03 1.122490e+05 1.0 9.7 0.676 11.7
Philippines 2013 Developing 68.1 219 55 4.61 2.458973e+01 89 2920 24.3 69 84 4.56 89 0.1 2.762891e+02 9.848132e+06 1.0 9.7 0.671 11.7
Philippines 2012 Developing 68.1 217 56 5.02 2.127418e+02 88 1536 23.7 71 88 4.46 88 0.1 2.581819e+03 9.686664e+07 1.0 9.7 0.666 11.6
Philippines 2011 Developing 68.0 218 57 4.96 1.914950e+02 87 6538 23.1 72 87 4.29 87 0.1 2.352518e+03 9.527794e+06 1.0 9.7 0.669 11.5
Philippines 2010 Developing 67.9 218 58 4.85 1.982564e+02 77 6368 22.6 74 78 4.37 79 0.1 2.129499e+03 9.372662e+07 1.0 9.7 0.662 11.4
Philippines 2009 Developing 68.0 219 59 4.42 1.595348e+02 85 1469 22.1 76 86 4.41 87 0.1 1.825342e+03 9.222879e+06 1.0 9.7 0.661 11.7
Philippines 2008 Developing 67.5 217 60 4.21 1.554768e+02 88 341 21.6 78 91 4.50 91 0.1 1.919466e+03 9.751864e+06 1.0 9.7 0.655 11.5
Philippines 2007 Developing 67.5 216 62 4.19 1.373275e+02 87 530 21.1 80 87 3.94 87 0.1 1.672685e+03 8.929349e+06 1.0 9.7 0.648 11.4
Philippines 2006 Developing 67.3 219 63 4.08 1.213625e+02 77 9 2.6 82 88 3.95 88 0.1 1.391772e+03 8.789419e+06 1.0 9.7 0.646 11.5
Philippines 2005 Developing 67.0 223 65 4.22 1.057307e+02 49 118 2.1 84 9 3.91 89 0.1 1.194697e+03 8.627424e+07 1.0 9.7 0.642 11.6
Philippines 2004 Developing 67.3 218 66 4.45 1.339905e+01 48 3025 19.6 86 85 3.23 88 0.1 1.793715e+02 8.467849e+07 1.0 9.7 0.636 11.6
Philippines 2003 Developing 67.2 217 67 4.44 9.011493e-01 52 10511 19.2 87 85 3.25 84 0.1 1.155320e+01 8.331954e+06 1.0 9.7 0.631 11.6
Philippines 2002 Developing 66.8 221 68 4.42 9.987220e-02 42 7003 18.7 89 77 2.79 79 0.1 1.681350e+00 8.135260e+05 1.0 9.7 0.625 11.4
Philippines 2001 Developing 66.8 221 68 4.54 6.902042e+01 45 7360 18.3 89 76 3.00 79 0.1 9.572874e+02 7.966532e+07 1.0 9.7 0.622 11.4
Philippines 2000 Developing 66.8 219 69 4.73 1.169704e+01 7 7120 17.8 90 74 3.21 78 0.1 1.389198e+02 7.799157e+07 1.0 9.6 0.618 11.4
Poland 2015 Developed 77.5 117 2 NA 0.000000e+00 96 0 61.7 2 92 NA 98 0.1 1.256599e+04 3.798641e+07 1.9 2.0 0.852 16.4
Poland 2014 Developed 77.3 12 2 10.71 2.438085e+02 96 0 61.1 2 94 6.35 98 0.1 1.434167e+04 3.811735e+06 1.9 2.1 0.850 16.4
Poland 2013 Developed 77.1 12 2 11.63 2.343533e+01 96 84 6.4 2 95 6.40 99 0.1 1.378549e+03 3.841960e+05 2.0 2.1 0.838 15.4
Poland 2012 Developed 76.8 125 2 10.81 2.300401e+02 97 71 59.7 2 95 6.62 99 0.1 1.314515e+04 3.863164e+06 2.0 2.1 0.834 15.3
Poland 2011 Developed 76.7 128 2 10.93 2.500774e+02 98 0 59.1 2 96 6.70 99 0.1 1.389319e+04 3.863255e+06 2.0 2.2 0.829 15.4
Poland 2010 Developed 76.3 13 2 10.59 2.204917e+02 98 13 58.4 2 96 6.88 99 0.1 1.259952e+04 3.842794e+06 2.1 2.2 0.822 15.1
Poland 2009 Developed 75.7 136 2 10.70 1.299160e+03 98 115 57.8 3 96 7.12 99 0.1 1.152759e+04 3.815163e+06 2.1 2.3 0.818 15.1
Poland 2008 Developed 75.5 14 2 11.40 1.571475e+01 98 0 57.2 3 96 6.88 99 0.1 1.414469e+02 3.812576e+07 2.2 2.3 0.813 15.0
Poland 2007 Developed 75.3 144 2 10.90 1.430425e+01 98 40 56.6 3 99 6.28 99 0.1 1.126319e+03 3.812560e+05 2.2 2.4 0.808 15.0
Poland 2006 Developed 75.2 144 2 10.40 9.145556e+00 98 120 56.0 3 99 6.17 99 0.1 9.477260e+01 3.814127e+07 2.3 2.4 0.803 15.0
Poland 2005 Developed 75.0 144 2 9.50 7.941503e+01 98 13 55.5 3 99 6.20 99 0.1 8.212516e+02 3.816545e+07 2.3 2.5 0.797 14.8
Poland 2004 Developed 74.9 143 2 9.19 6.480743e+02 98 11 55.0 3 99 6.19 99 0.1 6.681179e+03 3.818222e+07 2.4 2.5 0.800 15.5
Poland 2003 Developed 74.7 142 3 9.06 5.420235e+02 97 48 54.5 3 98 6.22 99 0.1 5.693524e+03 3.824570e+05 2.4 2.6 0.796 15.3
Poland 2002 Developed 74.5 145 3 8.02 5.160554e+02 98 34 54.0 3 98 6.32 99 0.1 5.196933e+03 3.823364e+06 2.5 2.6 0.790 15.0
Poland 2001 Developed 74.2 149 3 7.74 4.667383e+02 95 133 53.6 3 98 5.86 98 0.1 4.981199e+03 3.824876e+06 2.5 2.7 0.784 14.7
Poland 2000 Developed 73.7 153 3 8.40 4.124324e+02 99 77 53.1 4 98 5.50 98 0.1 4.492728e+03 3.825863e+07 2.5 2.8 0.777 14.6
Portugal 2015 Developed 81.1 76 0 NA 0.000000e+00 98 8 61.6 0 98 NA 98 0.1 1.922681e+03 1.358760e+05 0.7 0.5 0.841 16.6
Portugal 2014 Developed 89.0 78 0 9.88 2.712546e+02 98 0 6.9 0 98 9.50 98 0.1 2.277536e+03 1.416200e+04 0.7 0.5 0.837 16.8
Portugal 2013 Developed 86.0 79 0 10.00 2.698018e+03 98 1 6.2 0 98 9.55 98 0.1 2.161874e+04 1.457295e+06 0.7 0.5 0.827 16.3
Portugal 2012 Developed 83.0 81 0 11.96 3.314570e+02 98 23 59.5 0 98 9.74 98 0.1 2.577426e+03 1.514844e+06 0.7 0.5 0.824 16.3
Portugal 2011 Developed 82.0 85 0 11.92 3.108289e+03 97 2 58.8 0 97 1.70 97 0.1 2.319618e+04 1.557560e+05 0.7 0.5 0.818 16.2
Portugal 2010 Developed 79.6 88 0 12.25 3.119350e+03 97 5 58.1 0 97 1.44 98 0.1 2.253865e+04 1.573100e+04 0.7 0.5 0.812 16.0
Portugal 2009 Developed 79.3 9 0 12.03 3.371024e+02 96 3 57.3 0 96 1.42 96 0.1 2.363972e+03 1.568247e+06 0.7 0.5 0.809 16.0
Portugal 2008 Developed 79.0 92 0 12.35 3.652869e+03 97 1 56.5 0 97 9.90 97 0.1 2.481569e+04 1.558177e+06 0.7 0.5 0.804 15.8
Portugal 2007 Developed 78.7 94 0 12.57 3.333569e+02 97 0 55.7 0 96 9.62 97 0.1 2.278584e+03 1.542964e+06 0.7 0.5 0.797 15.4
Portugal 2006 Developed 78.5 96 0 13.11 2.884020e+03 97 0 54.9 0 97 9.67 97 0.1 1.982144e+04 1.522288e+06 0.7 0.5 0.793 15.4
Portugal 2005 Developed 77.7 11 0 13.33 2.813985e+03 94 7 54.1 1 93 9.98 93 0.1 1.878495e+04 1.533300e+04 0.7 0.6 0.790 15.4
Portugal 2004 Developed 78.0 99 0 13.45 2.761000e+02 94 5 53.3 1 95 9.84 95 0.1 1.845588e+03 1.483861e+06 0.7 0.6 0.792 15.9
Portugal 2003 Developed 77.3 15 0 14.21 2.283892e+03 94 8 52.5 1 96 9.54 99 0.1 1.577273e+04 1.458821e+06 0.7 0.6 0.789 15.8
Portugal 2002 Developed 77.2 17 1 12.00 1.904002e+03 82 8 51.7 1 96 9.15 98 0.1 1.288229e+04 1.419631e+06 0.8 0.6 0.788 15.9
Portugal 2001 Developed 76.9 11 1 12.22 1.657328e+03 7 0 5.9 1 96 9.10 97 0.1 1.172915e+04 1.362722e+06 0.8 0.6 0.782 15.7
Portugal 2000 Developed 76.6 11 1 11.89 1.673280e+02 58 45 5.1 1 96 9.14 96 0.1 1.152397e+03 1.289898e+06 0.8 0.6 0.777 15.5
Qatar 2015 Developing 78.2 68 0 NA 0.000000e+00 99 18 69.3 0 99 NA 99 0.1 6.634652e+04 NA 5.2 4.9 0.855 13.4
Qatar 2014 Developing 78.1 69 0 1.15 5.063513e+03 89 46 68.4 0 99 2.19 89 0.1 8.685271e+04 NA 5.2 4.8 0.854 13.4
Qatar 2013 Developing 77.9 7 0 1.20 5.150735e+02 97 73 67.7 0 99 2.15 97 0.1 8.834880e+03 NA 5.1 4.7 0.843 13.4
Qatar 2012 Developing 77.8 72 0 1.13 5.163329e+03 93 160 67.0 0 93 2.16 92 0.1 8.856482e+04 NA 5.1 4.7 0.837 13.4
Qatar 2011 Developing 77.5 74 0 1.16 4.409171e+03 93 101 66.5 0 92 1.93 93 0.1 8.594875e+04 NA 5.1 4.6 0.827 12.4
Qatar 2010 Developing 77.3 76 0 1.16 3.776849e+01 97 295 66.0 0 98 2.90 97 0.1 7.362278e+02 NA 5.0 4.6 0.825 12.0
Qatar 2009 Developing 77.0 79 0 1.11 3.688694e+03 99 112 65.6 0 98 2.63 99 0.1 6.147824e+04 NA 5.0 4.6 0.828 11.8
Qatar 2008 Developing 76.8 82 0 1.37 5.484143e+03 97 0 65.2 0 98 1.87 97 0.1 8.296737e+04 NA 5.0 4.5 0.825 11.7
Qatar 2007 Developing 76.7 83 0 1.24 4.418506e+01 94 361 65.1 0 97 2.31 94 0.1 6.756126e+02 NA 4.9 4.5 0.830 12.6
Qatar 2006 Developing 76.6 83 0 1.28 4.485953e+02 96 144 65.0 0 95 2.58 96 0.1 6.256559e+03 NA 4.9 4.5 0.835 13.7
Qatar 2005 Developing 76.6 84 0 1.18 4.582476e+03 97 74 65.1 0 98 3.10 97 0.1 5.148850e+04 NA 4.8 4.5 0.830 13.7
Qatar 2004 Developing 76.6 84 0 1.11 4.064744e+03 97 29 65.0 0 95 3.61 96 0.1 4.181835e+04 NA 4.8 4.5 0.826 13.5
Qatar 2003 Developing 76.5 85 0 1.00 4.049972e+03 93 24 64.7 0 93 4.14 92 0.1 3.417698e+04 NA 4.8 4.5 0.815 12.8
Qatar 2002 Developing 76.4 85 0 0.87 1.886783e+02 98 34 64.1 0 96 2.71 96 0.1 2.999655e+03 NA 4.8 4.5 0.807 12.2
Qatar 2001 Developing 76.3 87 0 0.76 1.700495e+02 93 23 63.3 0 93 2.56 93 0.1 2.843636e+03 NA 4.8 4.5 0.809 12.6
Qatar 2000 Developing 76.2 88 0 0.50 1.559287e+03 89 46 62.4 0 91 2.18 8 0.1 2.998629e+04 NA 4.8 4.5 0.808 13.0
Republic of Korea 2015 Developing 82.3 64 1 NA 0.000000e+00 98 7 31.7 2 98 NA 98 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2014 Developing 82.0 66 1 0.01 0.000000e+00 99 442 31.2 2 99 7.37 99 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2013 Developing 81.7 68 1 9.33 0.000000e+00 99 107 3.8 2 99 7.20 99 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2012 Developing 81.2 69 1 9.56 0.000000e+00 99 2 3.4 2 99 7.10 99 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2011 Developing 81.1 72 2 9.34 0.000000e+00 99 42 3.0 2 98 6.83 99 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2010 Developing 87.0 74 2 9.23 0.000000e+00 94 114 29.5 2 95 6.79 94 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2009 Developing 86.0 75 2 8.97 0.000000e+00 94 17 29.1 2 95 6.66 94 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2008 Developing 83.0 75 2 9.31 0.000000e+00 94 2 28.6 2 92 6.16 94 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2007 Developing 79.8 77 2 9.05 0.000000e+00 91 194 28.2 2 91 5.99 91 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2006 Developing 79.4 79 2 8.83 0.000000e+00 99 28 27.7 2 98 5.76 98 0.1 NA NA 1.5 1.0 NA NA
Republic of Korea 2005 Developing 78.7 84 2 9.03 0.000000e+00 99 7 27.2 3 96 5.33 96 0.1 NA NA 1.6 1.0 NA NA
Republic of Korea 2004 Developing 78.2 89 3 9.18 0.000000e+00 92 11 26.7 3 9 4.96 88 0.1 NA NA 1.6 1.0 NA NA
Republic of Korea 2003 Developing 77.6 95 3 9.66 0.000000e+00 91 33 26.2 3 94 4.93 97 0.1 NA NA 1.6 1.0 NA NA
Republic of Korea 2002 Developing 77.1 99 3 9.55 0.000000e+00 92 62 25.7 4 99 4.61 97 0.1 NA NA 1.6 1.1 NA NA
Republic of Korea 2001 Developing 76.7 17 3 11.45 0.000000e+00 89 23060 25.2 4 99 4.76 97 0.1 NA NA 1.6 1.1 NA NA
Republic of Korea 2000 Developing 76.0 116 4 10.33 0.000000e+00 93 32647 24.7 4 99 4.23 97 0.1 NA NA 1.6 1.1 NA NA
Republic of Moldova 2015 Developing 72.1 157 1 NA 0.000000e+00 88 0 53.4 1 88 NA 87 0.1 NA NA 2.7 2.8 NA NA
Republic of Moldova 2014 Developing 71.8 162 1 9.99 0.000000e+00 92 2 52.7 1 92 1.32 9 0.1 NA NA 2.7 2.8 NA NA
Republic of Moldova 2013 Developing 71.7 163 1 10.49 0.000000e+00 91 27 52.1 1 92 1.50 9 0.1 NA NA 2.7 2.9 NA NA
Republic of Moldova 2012 Developing 79.0 175 1 10.68 0.000000e+00 94 11 51.5 1 92 11.87 92 0.1 NA NA 2.7 2.9 NA NA
Republic of Moldova 2011 Developing 77.0 177 1 9.45 0.000000e+00 96 0 5.9 1 96 1.61 93 0.1 NA NA 2.8 3.0 NA NA
Republic of Moldova 2010 Developing 68.8 219 1 8.25 0.000000e+00 98 0 5.4 1 97 12.80 9 0.1 NA NA 2.8 3.0 NA NA
Republic of Moldova 2009 Developing 69.0 218 1 8.45 0.000000e+00 89 0 49.9 1 87 12.49 85 0.1 NA NA 2.9 3.1 NA NA
Republic of Moldova 2008 Developing 68.9 228 1 9.07 0.000000e+00 97 0 49.5 1 96 11.41 9 0.1 NA NA 2.9 3.1 NA NA
Republic of Moldova 2007 Developing 68.3 237 1 9.66 0.000000e+00 95 10 49.1 1 93 1.88 92 0.1 NA NA 3.0 3.2 NA NA
Republic of Moldova 2006 Developing 68.0 242 1 8.36 0.000000e+00 98 34 48.7 1 98 1.63 97 0.1 NA NA 3.1 3.3 NA NA
Republic of Moldova 2005 Developing 67.3 248 1 10.78 0.000000e+00 99 6 48.3 1 99 9.15 98 0.1 NA NA 3.1 3.3 NA NA
Republic of Moldova 2004 Developing 68.0 225 1 12.27 0.000000e+00 99 4 47.9 1 98 8.49 98 0.1 NA NA 3.2 3.4 NA NA
Republic of Moldova 2003 Developing 67.6 226 1 8.15 0.000000e+00 99 87 47.6 1 98 8.24 98 0.1 NA NA 3.3 3.5 NA NA
Republic of Moldova 2002 Developing 67.5 225 1 6.71 0.000000e+00 99 4929 47.2 1 98 8.31 97 0.1 NA NA 3.4 3.6 NA NA
Republic of Moldova 2001 Developing 67.6 228 1 10.98 0.000000e+00 94 457 46.8 1 98 7.00 97 0.1 NA NA 3.5 3.6 NA NA
Republic of Moldova 2000 Developing 67.1 235 1 9.89 0.000000e+00 92 687 46.5 2 97 6.65 95 0.1 NA NA 3.6 3.7 NA NA
Romania 2015 Developed 75.0 133 2 NA 0.000000e+00 9 4 6.7 2 89 NA 89 0.1 8.958789e+03 1.981548e+07 2.5 2.7 0.798 14.7
Romania 2014 Developed 74.8 135 2 0.01 1.576409e+00 94 59 59.9 2 94 5.57 94 0.1 1.227733e+01 1.998979e+06 2.6 2.8 0.797 14.7
Romania 2013 Developed 74.6 138 2 9.59 1.230748e+03 96 1159 59.2 2 88 5.60 92 0.1 9.585267e+03 1.998369e+07 2.7 2.9 0.794 14.7
Romania 2012 Developed 74.4 138 2 9.58 1.078358e+03 96 7450 58.4 2 92 5.48 91 0.1 8.558398e+03 2.583500e+04 2.8 3.0 0.797 15.3
Romania 2011 Developed 74.3 139 2 9.10 1.032589e+01 96 4189 57.7 2 89 5.53 89 0.1 9.227783e+01 2.147528e+06 2.9 3.1 0.798 15.7
Romania 2010 Developed 73.4 153 2 9.00 9.832518e+02 98 193 56.9 2 94 5.83 94 0.1 8.297484e+03 2.246871e+06 3.0 3.2 0.797 15.8
Romania 2009 Developed 73.1 158 2 10.40 1.496374e+01 95 8 56.3 3 95 5.56 95 0.1 8.221833e+02 2.367487e+06 3.0 3.3 0.795 15.4
Romania 2008 Developed 73.1 159 2 11.90 1.280806e+02 97 12 55.6 3 95 5.33 96 0.1 1.136474e+03 2.537875e+06 3.1 3.5 0.780 14.7
Romania 2007 Developed 72.9 154 3 10.60 9.191673e+02 99 353 55.0 3 96 5.21 96 0.1 8.214185e+03 2.882982e+06 3.2 3.6 0.766 14.1
Romania 2006 Developed 72.5 157 3 8.51 6.656428e+02 99 3196 54.4 4 97 5.60 97 0.1 5.828746e+03 2.119376e+06 3.2 3.7 0.755 13.7
Romania 2005 Developed 71.9 162 3 7.68 6.154031e+02 98 5043 53.9 4 97 5.47 97 0.1 4.676315e+03 2.131969e+07 3.3 3.8 0.745 13.4
Romania 2004 Developed 71.7 165 4 9.82 4.313250e+02 99 117 53.4 4 97 5.43 97 0.1 3.552925e+03 2.145175e+07 3.4 3.9 0.733 12.9
Romania 2003 Developed 71.1 174 4 8.78 3.751740e+02 98 9 52.9 4 97 5.30 97 0.1 2.774956e+03 2.157433e+07 3.5 4.0 0.722 12.5
Romania 2002 Developed 77.0 178 4 9.62 3.782275e+01 99 14 52.4 5 98 4.57 98 0.1 2.124874e+03 2.173496e+06 3.7 4.1 0.714 12.0
Romania 2001 Developed 78.0 179 4 9.78 1.801095e+02 98 10 51.9 5 99 4.36 99 0.1 1.839729e+03 2.213197e+06 3.8 4.2 0.708 11.7
Romania 2000 Developed 77.0 175 4 10.16 1.526369e+02 98 35 51.4 5 99 4.33 99 0.1 1.668163e+03 2.244297e+07 4.0 4.3 0.703 11.5
Russian Federation 2015 Developing 75.0 222 13 NA 0.000000e+00 97 843 6.5 15 97 NA 97 0.1 9.329298e+03 1.449687e+06 2.3 2.3 0.805 15.0
Russian Federation 2014 Developing 73.0 225 13 10.12 1.340554e+03 97 4711 59.9 15 97 7.70 97 0.1 1.412596e+04 1.438197e+08 2.3 2.3 0.803 14.9
Russian Federation 2013 Developing 70.0 229 14 10.58 1.529498e+03 97 2339 59.3 16 98 7.90 97 0.2 1.554368e+04 1.435691e+07 2.3 2.3 0.799 14.6
Russian Federation 2012 Developing 69.6 237 14 10.99 1.788226e+02 97 2123 58.7 16 98 6.88 97 0.3 1.515446e+04 1.432168e+07 2.3 2.4 0.792 14.3
Russian Federation 2011 Developing 69.4 242 14 11.04 1.847649e+02 97 629 58.1 17 97 6.61 97 0.3 1.421269e+04 1.429687e+07 2.3 2.4 0.785 14.0
Russian Federation 2010 Developing 68.4 256 15 11.05 1.628088e+02 97 129 57.5 17 98 6.83 97 0.2 1.674988e+03 1.428494e+08 2.3 2.5 0.773 13.7
Russian Federation 2009 Developing 68.2 261 15 11.21 1.370063e+02 98 101 57.0 18 98 7.44 98 0.3 8.562896e+03 1.427853e+08 2.3 2.5 0.776 14.0
Russian Federation 2008 Developing 67.5 278 16 12.04 1.617302e+02 98 27 56.6 18 98 6.22 98 0.3 1.163526e+04 1.427424e+07 2.3 2.5 0.769 13.9
Russian Federation 2007 Developing 67.3 282 16 12.19 1.102617e+01 98 173 56.1 19 98 5.38 98 0.3 9.112539e+02 1.428588e+06 2.4 2.6 0.761 13.8
Russian Federation 2006 Developing 66.4 3 17 11.79 1.225184e+01 98 1147 55.7 20 98 5.30 98 0.3 6.921944e+02 1.434953e+07 2.4 2.7 0.754 13.8
Russian Federation 2005 Developing 65.0 327 18 11.57 6.255082e+02 97 454 55.3 20 98 5.21 98 0.3 5.323474e+03 1.435185e+08 2.4 2.7 0.748 13.7
Russian Federation 2004 Developing 64.9 321 19 11.50 4.651559e+01 96 2444 55.0 21 98 5.19 97 0.3 4.123723e+02 1.446754e+06 2.5 2.8 0.741 13.6
Russian Federation 2003 Developing 64.6 322 20 11.32 3.332149e+02 94 3291 54.7 22 97 5.61 96 0.4 2.975133e+03 1.446483e+08 2.6 2.8 0.733 13.2
Russian Federation 2002 Developing 64.8 313 20 10.87 2.665417e+02 81 580 54.5 24 97 5.99 97 0.3 2.375594e+03 1.453646e+06 2.7 2.9 0.727 12.8
Russian Federation 2001 Developing 65.1 38 21 10.47 2.642527e+00 43 2072 54.2 25 97 5.67 96 0.3 2.136239e+01 1.459768e+07 2.8 3.0 0.720 12.5
Russian Federation 2000 Developing 65.0 37 22 10.18 2.244600e+02 NA 4800 54.0 26 97 5.42 96 0.2 1.771587e+03 1.465966e+08 2.9 3.0 0.709 12.1
Rwanda 2015 Developing 66.1 227 11 NA 0.000000e+00 98 1 21.4 15 99 NA 98 0.4 7.134840e+01 1.162955e+07 5.7 5.7 0.493 10.8
Rwanda 2014 Developing 65.7 23 12 0.01 7.549797e+00 98 10 2.8 16 98 7.53 98 0.4 7.656995e+01 1.134536e+07 5.8 5.8 0.488 10.8
Rwanda 2013 Developing 65.2 233 12 0.01 1.171091e+01 98 17 2.1 17 98 7.69 98 0.5 6.888769e+02 1.165151e+06 5.9 5.9 0.485 10.8
Rwanda 2012 Developing 64.6 239 13 0.01 9.774676e+00 98 75 19.5 18 98 7.68 98 0.7 6.787970e+02 1.788853e+06 6.1 6.1 0.475 10.5
Rwanda 2011 Developing 63.8 247 14 8.34 9.074569e+00 97 31 18.9 20 93 7.71 97 1.3 6.173176e+02 1.516710e+05 6.3 6.2 0.464 10.2
Rwanda 2010 Developing 62.8 26 16 7.92 6.378724e+01 97 121 18.3 23 93 7.91 97 2.3 5.634915e+02 1.246842e+06 6.5 6.3 0.454 10.0
Rwanda 2009 Developing 61.0 288 17 7.11 9.165615e+00 97 5 17.7 25 93 7.20 97 2.8 5.391538e+02 9.977446e+06 6.6 6.4 0.447 10.2
Rwanda 2008 Developing 68.0 282 18 6.39 6.615404e-01 97 6 17.1 28 97 7.66 97 3.7 5.668726e+00 9.781690e+05 6.7 6.6 0.438 10.4
Rwanda 2007 Developing 59.6 295 20 6.78 7.409772e+00 97 26 16.5 30 98 8.49 97 5.0 4.485334e+01 9.447420e+05 6.8 6.7 0.424 10.1
Rwanda 2006 Developing 57.6 328 22 6.88 7.847020e+01 99 494 15.9 34 99 1.20 99 6.2 3.423656e+02 9.265800e+04 6.8 6.8 0.404 9.3
Rwanda 2005 Developing 55.3 37 24 7.01 3.944667e+01 95 129 15.4 38 95 6.83 95 7.1 2.879319e+02 8.991735e+06 6.8 7.0 0.388 8.8
Rwanda 2004 Developing 53.4 397 26 6.75 3.193566e+01 89 386 14.9 42 89 6.24 89 7.7 2.369114e+02 8.818438e+06 6.9 7.1 0.371 8.2
Rwanda 2003 Developing 52.0 48 29 6.66 3.330286e+01 96 1064 14.5 46 96 6.34 96 8.1 2.126619e+02 8.683460e+05 7.0 7.3 0.359 7.6
Rwanda 2002 Developing 57.0 415 31 7.82 1.965978e+00 88 2738 14.1 50 85 4.18 88 8.0 1.965978e+02 8.536250e+05 7.2 7.4 0.343 7.2
Rwanda 2001 Developing 48.6 438 33 5.72 3.882538e-01 NA 896 13.7 54 76 4.38 77 8.1 2.156965e+01 8.329460e+05 7.4 7.5 0.332 7.1
Rwanda 2000 Developing 48.3 426 34 7.13 1.841792e+01 NA 2095 13.2 57 9 4.22 9 8.5 2.161727e+02 8.257300e+04 7.6 7.7 0.318 6.6
Saint Kitts and Nevis 2013 Developing NA NA 0 8.54 0.000000e+00 97 0 5.2 0 96 6.14 96 0.1 NA NA 3.7 3.6 0.749 13.4
Saint Lucia 2015 Developing 75.2 138 0 NA 0.000000e+00 99 0 47.5 0 99 NA 99 0.1 NA NA 4.3 4.3 0.735 13.1
Saint Lucia 2014 Developing 75.0 139 0 9.97 0.000000e+00 99 0 46.7 0 99 6.72 99 0.1 NA NA 4.3 4.3 0.723 13.1
Saint Lucia 2013 Developing 74.8 141 0 9.73 0.000000e+00 99 0 45.9 0 99 7.85 99 0.1 NA NA 4.3 4.3 0.734 13.1
Saint Lucia 2012 Developing 74.7 142 0 9.99 0.000000e+00 98 0 45.2 0 98 8.35 98 0.1 NA NA 4.3 4.3 0.735 13.0
Saint Lucia 2011 Developing 74.6 143 0 10.43 0.000000e+00 99 0 44.5 0 99 7.58 99 0.1 NA NA 4.3 4.3 0.733 12.9
Saint Lucia 2010 Developing 74.2 147 0 10.87 0.000000e+00 97 0 43.8 0 97 8.10 97 0.1 NA NA 4.3 4.3 0.724 12.8
Saint Lucia 2009 Developing 74.3 147 0 11.09 0.000000e+00 95 0 43.0 0 95 8.12 95 0.1 NA NA 4.3 4.4 0.717 12.7
Saint Lucia 2008 Developing 74.1 149 0 12.09 0.000000e+00 96 0 42.2 0 96 7.43 96 0.1 NA NA 4.3 4.4 0.710 12.6
Saint Lucia 2007 Developing 73.9 151 0 12.68 0.000000e+00 99 0 41.3 0 99 6.81 99 0.1 NA NA 4.3 4.4 0.707 12.8
Saint Lucia 2006 Developing 73.5 155 0 13.45 0.000000e+00 85 0 4.4 0 85 6.37 85 0.1 NA NA 4.3 4.4 0.694 12.4
Saint Lucia 2005 Developing 73.1 16 0 12.32 0.000000e+00 95 0 39.6 0 95 6.25 95 0.2 NA NA 4.4 4.4 0.689 12.2
Saint Lucia 2004 Developing 72.6 166 0 11.93 0.000000e+00 91 0 39.0 0 91 6.20 91 0.2 NA NA 4.4 4.4 0.686 12.3
Saint Lucia 2003 Developing 72.2 171 0 12.55 0.000000e+00 84 0 38.4 0 91 6.10 9 0.2 NA NA 4.4 4.4 0.684 12.4
Saint Lucia 2002 Developing 72.0 174 0 11.85 0.000000e+00 14 0 37.9 0 9 6.33 74 0.1 NA NA 4.4 4.5 0.681 12.5
Saint Lucia 2001 Developing 71.8 178 0 12.03 0.000000e+00 NA 0 37.3 0 99 6.10 99 0.3 NA NA 4.5 4.5 0.684 12.6
Saint Lucia 2000 Developing 71.6 183 0 11.69 0.000000e+00 NA 0 36.8 0 7 5.53 7 0.4 NA NA 4.5 4.5 0.000 12.8
Saint Vincent and the Grenadines 2015 Developing 73.2 156 0 NA 0.000000e+00 98 0 54.1 0 97 NA 98 0.1 NA NA 3.5 3.4 0.720 13.3
Saint Vincent and the Grenadines 2014 Developing 73.1 157 0 7.01 0.000000e+00 98 0 53.1 0 97 8.63 98 0.1 NA NA 3.5 3.4 0.720 13.3
Saint Vincent and the Grenadines 2013 Developing 72.7 161 0 7.07 0.000000e+00 97 0 52.2 0 97 5.21 97 0.1 NA NA 3.5 3.4 0.717 13.3
Saint Vincent and the Grenadines 2012 Developing 72.8 159 0 6.93 0.000000e+00 96 0 51.2 0 96 8.48 96 0.1 NA NA 3.5 3.5 0.713 13.3
Saint Vincent and the Grenadines 2011 Developing 72.7 16 0 7.02 0.000000e+00 96 0 5.3 0 96 4.99 96 0.1 NA NA 3.5 3.5 0.712 13.3
Saint Vincent and the Grenadines 2010 Developing 72.5 162 0 7.00 0.000000e+00 99 0 49.3 0 99 4.71 99 0.1 NA NA 3.5 3.5 0.711 13.3
Saint Vincent and the Grenadines 2009 Developing 72.3 165 0 6.85 0.000000e+00 99 0 48.4 0 99 5.13 99 0.2 NA NA 3.6 3.5 0.709 13.3
Saint Vincent and the Grenadines 2008 Developing 72.1 167 0 6.92 0.000000e+00 99 0 47.5 0 99 4.70 99 0.3 NA NA 3.6 3.6 0.704 13.3
Saint Vincent and the Grenadines 2007 Developing 71.9 17 0 5.89 0.000000e+00 99 0 46.6 0 99 3.92 99 0.3 NA NA 3.6 3.6 0.702 13.3
Saint Vincent and the Grenadines 2006 Developing 71.7 173 0 5.93 0.000000e+00 99 0 45.7 0 99 3.88 99 0.3 NA NA 3.7 3.6 0.695 13.3
Saint Vincent and the Grenadines 2005 Developing 71.4 177 0 6.04 0.000000e+00 99 0 44.7 0 93 3.66 99 0.2 NA NA 3.7 3.7 0.692 13.3
Saint Vincent and the Grenadines 2004 Developing 71.2 181 0 5.42 0.000000e+00 99 0 43.8 0 99 3.72 99 0.4 NA NA 3.8 3.7 0.689 13.2
Saint Vincent and the Grenadines 2003 Developing 71.0 184 0 5.10 0.000000e+00 31 0 42.9 0 99 3.91 99 0.4 NA NA 3.8 3.8 0.682 13.0
Saint Vincent and the Grenadines 2002 Developing 79.0 186 0 4.94 0.000000e+00 NA 0 42.0 0 99 3.93 99 0.4 NA NA 3.9 3.8 0.677 12.9
Saint Vincent and the Grenadines 2001 Developing 79.0 186 0 4.73 0.000000e+00 NA 0 41.0 0 99 3.64 99 0.7 NA NA 3.9 3.9 0.673 12.8
Saint Vincent and the Grenadines 2000 Developing 79.0 186 0 4.80 0.000000e+00 NA 0 4.1 0 99 3.73 98 0.7 NA NA 4.0 3.9 0.000 12.7
Samoa 2015 Developing 74.0 125 0 NA 0.000000e+00 59 0 74.7 0 61 NA 66 0.1 4.149363e+03 1.937590e+05 0.2 0.1 0.702 12.9
Samoa 2014 Developing 73.8 128 0 0.01 6.602778e+02 56 0 74.3 0 58 7.22 63 0.1 4.178973e+03 1.922900e+04 0.2 0.1 0.701 12.9
Samoa 2013 Developing 73.6 131 0 0.01 6.983523e+02 6 0 73.8 0 62 6.91 67 0.1 4.219651e+03 1.975700e+04 0.2 0.1 0.700 12.9
Samoa 2012 Developing 73.2 136 0 0.01 4.920552e+02 64 1 73.4 0 62 5.20 64 0.1 4.234554e+03 1.891940e+05 0.2 0.1 0.698 12.9
Samoa 2011 Developing 73.0 139 0 2.15 5.587206e+02 58 0 72.9 0 6 5.80 65 0.1 3.942983e+03 1.876650e+05 0.2 0.1 0.693 12.9
Samoa 2010 Developing 72.6 144 0 3.01 4.347941e+02 57 8 72.5 0 57 5.70 62 0.1 3.453487e+03 1.862500e+04 0.2 0.2 0.690 12.9
Samoa 2009 Developing 76.0 172 0 2.88 4.212368e+01 44 0 72.0 0 45 5.40 49 0.1 3.351128e+02 1.848260e+05 0.2 0.2 0.691 12.9
Samoa 2008 Developing 72.5 146 0 3.97 4.735261e+01 12 0 71.4 0 54 4.52 26 0.1 3.598222e+02 1.835260e+05 0.2 0.2 0.688 12.9
Samoa 2007 Developing 72.2 149 0 3.85 4.773638e+01 46 0 7.9 0 49 5.25 53 0.1 3.225431e+02 1.822860e+05 0.2 0.2 0.682 12.9
Samoa 2006 Developing 72.0 153 0 3.52 4.022856e+01 35 0 7.3 0 37 4.68 39 0.1 2.879639e+02 1.819400e+04 0.2 0.2 0.677 12.7
Samoa 2005 Developing 71.6 16 0 3.63 2.874671e+02 41 0 69.7 0 55 4.47 49 0.1 2.571262e+03 1.799290e+05 0.2 0.2 0.671 12.6
Samoa 2004 Developing 71.4 162 0 3.62 3.106118e+02 54 0 68.9 0 26 4.45 55 0.1 2.351338e+03 1.787810e+05 0.2 0.2 0.665 12.4
Samoa 2003 Developing 79.0 169 0 4.17 2.499717e+01 83 0 68.2 0 82 4.71 83 0.1 1.972942e+02 1.776620e+05 0.2 0.2 0.659 12.3
Samoa 2002 Developing 76.0 174 0 3.30 2.081688e+02 86 0 67.4 0 85 5.10 86 0.1 1.631417e+03 1.765820e+05 0.2 0.2 0.653 12.1
Samoa 2001 Developing 75.0 175 0 3.43 1.994118e+02 89 0 66.5 0 83 5.16 85 0.1 1.555475e+03 1.755660e+05 0.2 0.2 0.645 12.0
Samoa 2000 Developing 72.0 18 0 3.00 2.125430e+01 89 0 65.6 0 94 5.31 95 0.1 1.546892e+02 1.746100e+04 0.2 0.2 0.640 12.1
San Marino 2013 Developing NA NA 0 0.01 0.000000e+00 69 0 NA 0 69 6.50 69 0.1 NA NA NA NA NA 15.1
Sao Tome and Principe 2015 Developing 67.5 19 0 NA 0.000000e+00 96 0 3.9 0 96 NA 96 0.2 1.624640e+03 1.955530e+05 5.5 5.3 0.565 11.2
Sao Tome and Principe 2014 Developing 67.3 191 0 0.01 2.257308e+02 95 0 3.1 0 95 8.35 95 0.2 1.821879e+03 1.912660e+05 5.6 5.4 0.562 11.1
Sao Tome and Principe 2013 Developing 67.1 192 0 0.01 2.006601e+02 97 0 29.3 0 97 9.76 97 0.2 1.619533e+03 1.874500e+04 5.7 5.5 0.559 11.0
Sao Tome and Principe 2012 Developing 66.9 194 0 0.01 8.198048e+00 96 0 28.5 0 96 8.60 96 0.5 1.389500e+02 1.828890e+05 5.9 5.7 0.553 10.8
Sao Tome and Principe 2011 Developing 66.6 198 0 5.69 7.495401e+00 96 0 27.7 0 96 5.44 96 0.5 1.343262e+02 1.788000e+03 6.0 5.9 0.546 10.6
Sao Tome and Principe 2010 Developing 66.2 24 0 5.58 6.304033e+01 98 0 26.9 0 98 5.24 98 0.5 1.129755e+03 1.747760e+05 6.1 6.0 0.542 10.6
Sao Tome and Principe 2009 Developing 65.8 21 0 4.13 1.113609e+01 98 0 26.2 0 99 6.65 98 0.9 1.995715e+02 1.781300e+04 6.3 6.2 0.533 10.1
Sao Tome and Principe 2008 Developing 65.4 215 0 4.36 6.285659e+01 99 0 25.4 0 99 5.66 99 0.9 1.126462e+03 1.669130e+05 6.5 6.4 0.531 10.4
Sao Tome and Principe 2007 Developing 65.1 217 0 4.14 4.993698e+01 87 0 24.7 0 98 7.44 97 1.2 8.949280e+02 1.631100e+04 6.7 6.6 0.527 10.3
Sao Tome and Principe 2006 Developing 64.7 22 0 5.46 4.708931e+01 75 0 24.0 0 97 7.84 97 1.2 8.438945e+02 1.593280e+05 6.9 6.8 0.521 10.2
Sao Tome and Principe 2005 Developing 64.3 222 0 5.27 1.081391e+01 96 0 23.4 0 97 1.40 97 1.6 8.186157e+01 1.556300e+04 7.0 7.0 0.514 10.0
Sao Tome and Principe 2004 Developing 63.8 224 0 5.78 9.013494e+00 7 0 22.8 0 99 9.94 96 1.6 6.933457e+02 1.519690e+05 7.2 7.2 0.509 9.8
Sao Tome and Principe 2003 Developing 63.4 225 0 6.54 8.642744e+01 43 0 22.2 0 94 11.12 94 1.6 6.493422e+02 1.483720e+05 7.4 7.4 0.504 9.7
Sao Tome and Principe 2002 Developing 63.1 226 0 5.80 5.080181e+01 NA 0 21.7 0 92 1.21 92 1.4 5.558185e+02 1.448890e+05 7.6 7.6 0.501 9.6
Sao Tome and Principe 2001 Developing 62.8 225 0 5.02 3.841229e+00 NA 0 21.1 0 9 1.28 92 1.5 5.121638e+01 1.416220e+05 7.8 7.8 0.497 9.4
Sao Tome and Principe 2000 Developing 62.6 224 0 5.07 0.000000e+00 NA 0 2.7 0 87 8.86 82 1.5 NA 1.386600e+04 8.0 8.1 0.488 9.3
Saudi Arabia 2015 Developing 74.5 88 7 NA 0.000000e+00 98 219 68.2 8 97 NA 98 0.1 2.732862e+03 NA 7.8 7.6 0.845 16.1
Saudi Arabia 2014 Developing 74.4 88 7 0.09 2.017643e+03 98 154 67.3 9 98 4.68 98 0.1 2.457543e+04 NA 7.7 7.5 0.841 15.8
Saudi Arabia 2013 Developing 74.3 89 8 0.09 2.047113e+03 98 1164 66.4 9 98 4.25 98 0.1 2.493439e+04 NA 7.6 7.5 0.830 15.2
Saudi Arabia 2012 Developing 74.1 9 8 0.09 1.963808e+02 98 294 65.6 9 98 3.86 98 0.1 2.533946e+03 NA 7.5 7.4 0.818 14.5
Saudi Arabia 2011 Developing 73.9 92 8 0.09 1.735756e+02 98 362 64.7 9 98 3.57 98 0.1 2.377747e+03 NA 7.4 7.4 0.804 13.9
Saudi Arabia 2010 Developing 73.7 94 8 0.09 1.197946e+03 98 334 63.9 9 98 3.49 98 0.1 1.925959e+04 NA 7.3 7.4 0.792 13.3
Saudi Arabia 2009 Developing 73.4 97 8 0.09 1.179228e+02 98 82 63.1 10 98 4.90 98 0.1 1.694293e+03 NA 7.3 7.3 0.787 13.0
Saudi Arabia 2008 Developing 73.3 98 9 0.09 1.550667e+01 98 158 62.4 10 98 2.87 98 0.1 2.378323e+02 NA 7.2 7.3 0.779 12.8
Saudi Arabia 2007 Developing 73.2 99 9 0.10 1.307890e+03 96 4648 61.6 10 96 3.49 96 0.1 1.647217e+04 NA 7.2 7.3 0.773 12.7
Saudi Arabia 2006 Developing 73.2 1 9 0.08 1.395455e+03 96 807 6.9 10 96 3.55 96 0.1 1.533467e+04 NA 7.2 7.3 0.767 12.5
Saudi Arabia 2005 Developing 73.1 11 9 0.05 1.117048e+03 97 373 6.2 10 96 3.42 96 0.1 1.373983e+04 NA 7.2 7.3 0.761 12.4
Saudi Arabia 2004 Developing 73.1 12 9 0.06 8.164795e+02 96 1880 59.4 11 96 3.58 96 0.1 1.113887e+04 NA 7.2 7.3 0.754 12.3
Saudi Arabia 2003 Developing 73.0 13 9 0.05 8.323689e+02 95 1208 58.5 11 95 4.20 95 0.1 9.567458e+03 NA 7.2 7.3 0.747 12.2
Saudi Arabia 2002 Developing 72.9 15 10 0.05 6.880973e+02 97 311 57.7 11 95 4.28 95 0.1 8.655312e+03 NA 7.3 7.3 0.745 12.1
Saudi Arabia 2001 Developing 72.8 17 10 0.05 7.104952e+02 95 155 56.9 12 97 4.49 97 0.1 8.643494e+03 NA 7.3 7.3 0.742 12.0
Saudi Arabia 2000 Developing 72.6 11 10 0.05 7.821800e+02 93 0 56.2 12 95 4.24 95 0.1 9.126954e+03 NA 7.3 7.4 0.737 11.8
Senegal 2015 Developing 66.7 188 19 NA 0.000000e+00 89 58 24.3 26 85 NA 89 0.3 9.872561e+01 1.497699e+07 9.5 9.3 0.491 9.5
Senegal 2014 Developing 66.4 192 19 0.26 1.280529e+01 89 32 23.8 27 85 4.66 89 0.3 1.524439e+02 1.454611e+07 9.7 9.5 0.483 9.1
Senegal 2013 Developing 66.0 196 20 0.26 1.183853e+01 92 17 23.2 28 89 4.51 92 0.3 1.489124e+02 1.412320e+05 9.9 9.7 0.474 8.7
Senegal 2012 Developing 65.6 2 20 0.28 1.020659e+01 91 46 22.7 29 83 4.31 91 0.4 1.364518e+02 1.373513e+06 1.0 9.9 0.463 8.3
Senegal 2011 Developing 64.9 26 20 0.32 1.431052e+00 92 18 22.2 31 89 4.42 92 0.4 1.825321e+01 1.339100e+04 1.2 1.1 0.455 7.9
Senegal 2010 Developing 64.3 212 21 0.28 1.020072e+00 89 428 21.7 32 76 4.62 89 0.4 1.163138e+01 1.291623e+07 1.4 1.3 0.449 7.7
Senegal 2009 Developing 63.5 219 21 0.30 1.177478e+00 86 999 21.2 33 83 4.81 86 0.5 1.256646e+01 1.255917e+06 1.6 1.5 0.444 7.5
Senegal 2008 Developing 62.8 225 22 0.28 1.088331e+00 88 6 2.8 34 87 4.94 88 0.6 1.133678e+01 1.223957e+06 1.8 1.7 0.435 7.1
Senegal 2007 Developing 62.1 23 22 0.32 8.309153e+00 94 11 2.3 36 93 4.72 94 0.7 9.539785e+01 1.187356e+07 11.0 1.9 0.425 6.8
Senegal 2006 Developing 61.3 236 23 0.34 1.043023e+01 89 3 19.9 38 89 5.44 89 0.7 8.983830e+01 1.155676e+07 11.2 11.1 0.422 6.6
Senegal 2005 Developing 65.0 242 23 0.33 9.603725e+01 84 0 19.5 40 84 5.35 84 0.7 7.738699e+02 1.125127e+07 11.4 11.3 0.415 6.4
Senegal 2004 Developing 59.7 247 24 0.35 6.602236e+01 54 31 19.1 42 87 5.68 87 0.7 7.335818e+02 1.955944e+06 11.6 11.5 0.408 6.2
Senegal 2003 Developing 59.0 251 25 0.33 6.221978e+01 NA 1519 18.7 44 73 5.40 73 0.7 6.427663e+02 1.679900e+04 11.8 11.7 0.401 5.9
Senegal 2002 Developing 58.4 252 25 0.36 4.973511e+01 NA 18184 18.3 47 6 5.60 6 0.7 5.132623e+02 1.396861e+06 12.0 11.9 0.397 5.7
Senegal 2001 Developing 57.9 251 26 0.34 6.064221e+00 NA 24789 17.9 49 49 4.98 52 0.6 4.812874e+02 1.134497e+06 12.1 12.1 0.381 5.4
Senegal 2000 Developing 57.5 25 27 0.29 5.397368e+00 NA 5839 17.5 50 49 4.63 52 0.5 4.734534e+02 9.884520e+05 12.3 12.3 0.378 5.2
Serbia 2015 Developing 75.6 121 1 NA 0.000000e+00 94 383 6.0 1 95 NA 95 0.1 5.237255e+03 7.953830e+05 2.0 2.0 0.775 14.4
Serbia 2014 Developing 75.4 123 1 9.09 8.617208e+00 92 37 59.4 1 93 1.37 93 0.1 6.217322e+01 7.135760e+05 2.1 2.1 0.771 14.3
Serbia 2013 Developing 75.3 122 1 9.16 8.806403e+02 91 1 58.9 1 97 1.12 95 0.1 6.353826e+03 7.164132e+06 2.1 2.1 0.766 14.1
Serbia 2012 Developing 74.9 126 1 9.38 7.425110e+02 97 0 58.3 1 93 9.89 91 0.1 5.659382e+03 7.199770e+05 2.1 2.1 0.767 14.0
Serbia 2011 Developing 74.6 127 1 9.56 9.153191e+02 94 370 57.7 1 94 9.72 94 0.1 6.423292e+03 7.234990e+05 2.2 2.2 0.757 13.5
Serbia 2010 Developing 74.4 128 1 9.65 7.744397e+02 89 20 57.0 1 91 1.90 91 0.1 5.411877e+03 7.291436e+06 2.2 2.3 0.755 13.6
Serbia 2009 Developing 74.1 131 1 9.85 8.208109e+02 93 1 56.4 1 97 9.90 95 0.1 5.821354e+03 7.328700e+04 2.3 2.3 0.754 13.6
Serbia 2008 Developing 74.0 132 1 9.54 9.633238e+01 93 2 55.8 1 95 1.50 95 0.1 6.717739e+02 7.352220e+05 2.3 2.4 0.749 13.5
Serbia 2007 Developing 73.8 132 1 9.30 7.728700e+02 99 201 55.1 1 93 1.20 94 0.1 5.458122e+03 7.381579e+06 2.4 2.4 0.743 13.5
Serbia 2006 Developing 73.6 133 1 8.58 5.418243e+02 93 2 54.5 1 97 8.99 92 0.1 4.129759e+03 7.411569e+06 2.5 2.5 0.739 13.4
Serbia 2005 Developing 73.0 135 1 9.60 5.031116e+02 65 2 53.9 1 98 8.70 98 0.1 3.528132e+03 7.447690e+05 2.5 2.6 0.730 13.2
Serbia 2004 Developing 73.0 134 1 7.42 4.627077e+02 89 11 53.3 1 96 8.24 88 0.1 3.331229e+03 7.463157e+06 2.6 2.6 0.720 13.1
Serbia 2003 Developing 73.0 134 1 7.25 3.897515e+02 NA 15 52.8 1 89 8.13 89 0.1 2.832497e+03 7.485910e+05 2.7 2.7 0.715 13.0
Serbia 2002 Developing 72.9 133 1 6.95 2.926142e+02 NA 63 52.2 1 95 8.90 95 0.1 2.149994e+03 7.496522e+06 2.7 2.8 0.715 13.2
Serbia 2001 Developing 73.1 135 1 7.53 2.225066e+02 NA 35 51.7 1 93 6.89 93 0.1 1.634876e+03 7.534330e+05 2.8 2.8 0.709 13.1
Serbia 2000 Developing 72.6 141 1 7.38 1.185928e+01 NA 38 51.2 2 98 6.53 95 0.1 8.713653e+01 7.516346e+06 2.8 2.9 0.702 13.0
Seychelles 2015 Developing 73.2 168 0 NA 0.000000e+00 98 0 37.4 0 97 NA 97 0.1 1.539464e+03 9.341900e+04 5.7 6.0 0.781 14.1
Seychelles 2014 Developing 73.0 17 0 0.01 1.511046e+02 99 0 36.2 0 99 3.37 99 0.1 1.557779e+03 9.135900e+04 5.7 6.0 0.766 13.2
Seychelles 2013 Developing 72.9 172 0 0.01 1.521673e+03 99 0 35.5 0 98 3.58 98 0.1 1.568735e+04 8.994900e+04 5.7 6.1 0.762 13.5
Seychelles 2012 Developing 72.7 174 0 0.01 1.772634e+02 99 0 34.8 0 98 4.80 98 0.1 1.284517e+04 8.833000e+03 5.7 6.1 0.755 13.5
Seychelles 2011 Developing 72.6 177 0 9.72 1.121476e+03 99 0 34.2 0 99 3.38 99 0.1 1.218995e+04 8.744100e+04 5.7 6.1 0.744 13.3
Seychelles 2010 Developing 72.4 18 0 6.51 1.649232e+01 99 0 33.5 0 99 3.59 99 0.1 1.846845e+02 8.977000e+03 5.8 6.2 0.740 13.2
Seychelles 2009 Developing 72.3 182 0 4.94 7.522566e+01 99 0 32.4 0 99 2.64 99 0.1 9.769566e+02 8.729800e+04 5.8 6.2 0.739 13.2
Seychelles 2008 Developing 72.2 184 0 6.33 7.018526e+02 99 0 31.8 0 99 2.64 99 0.1 1.112286e+04 8.695600e+04 5.9 6.3 0.739 13.2
Seychelles 2007 Developing 72.2 185 0 8.12 9.164742e+02 99 1 31.2 0 99 3.30 99 0.1 1.215483e+04 8.533000e+03 5.9 6.3 0.733 13.1
Seychelles 2006 Developing 72.2 185 0 8.12 1.023739e+02 99 10 3.7 0 99 3.73 99 0.1 1.214400e+03 8.460000e+02 5.9 6.3 0.728 13.1
Seychelles 2005 Developing 72.2 185 0 7.82 2.146531e+01 99 0 3.1 0 99 3.91 99 0.1 1.192517e+03 8.285800e+04 6.0 6.4 0.712 12.1
Seychelles 2004 Developing 72.1 186 0 7.91 1.294325e+01 99 0 29.2 0 99 4.17 99 0.1 1.176659e+03 8.247500e+04 6.0 6.4 0.715 12.3
Seychelles 2003 Developing 72.1 185 0 7.41 8.431187e+02 99 0 28.7 0 99 4.64 99 0.1 8.524961e+03 8.278100e+04 6.1 6.5 0.713 12.1
Seychelles 2002 Developing 72.1 186 0 11.15 5.623602e+02 99 0 28.1 0 99 4.21 99 0.1 8.331262e+03 8.372300e+04 6.1 6.6 0.712 12.1
Seychelles 2001 Developing 72.0 187 0 6.72 6.437036e+02 96 0 27.6 0 96 4.45 96 0.1 7.663138e+03 8.122000e+03 6.2 6.6 0.714 12.2
Seychelles 2000 Developing 71.8 188 0 8.24 6.017608e+02 98 0 27.1 0 98 4.62 98 0.1 7.578852e+03 8.113100e+04 6.3 6.7 0.000 12.3
Sierra Leone 2015 Developing 51.0 413 22 NA 0.000000e+00 86 607 24.4 30 86 NA 86 0.5 5.875382e+02 7.237250e+05 7.4 7.3 0.431 9.5
Sierra Leone 2014 Developing 48.1 463 23 0.01 1.443286e+00 83 1006 23.8 32 83 11.90 83 0.6 7.843948e+01 7.791620e+05 7.5 7.4 0.426 9.5
Sierra Leone 2013 Developing 54.0 47 23 0.01 1.321464e+00 92 15 23.3 33 92 11.59 92 0.8 7.181870e+01 6.922790e+05 7.7 7.6 0.413 9.3
Sierra Leone 2012 Developing 49.7 411 25 0.01 5.456034e+01 91 678 22.7 35 91 11.24 91 0.9 5.618984e+02 6.766130e+05 7.9 7.8 0.401 9.1
Sierra Leone 2011 Developing 48.9 418 26 3.78 5.466592e+01 89 1865 22.2 38 88 11.98 89 1.3 4.455250e+02 6.611692e+06 8.1 8.0 0.392 8.9
Sierra Leone 2010 Developing 48.1 424 27 3.84 5.347717e+00 86 1089 21.7 40 84 1.32 86 1.6 4.512842e+01 6.458720e+05 8.3 8.2 0.384 8.7
Sierra Leone 2009 Developing 47.1 433 28 3.97 4.983713e+01 84 31 21.2 42 81 13.13 84 1.7 3.945932e+02 6.312600e+04 8.5 8.4 0.375 8.5
Sierra Leone 2008 Developing 46.2 441 29 3.91 5.379607e+00 77 44 2.7 44 75 1.29 77 1.9 4.637592e+01 6.165372e+06 8.7 8.7 0.367 8.3
Sierra Leone 2007 Developing 45.3 45 29 3.86 4.557109e+01 63 0 2.2 45 63 1.12 64 2.2 3.588275e+02 6.154170e+05 8.9 8.9 0.357 8.2
Sierra Leone 2006 Developing 44.3 464 30 3.80 3.800076e+01 NA 33 19.7 46 65 1.68 64 2.2 3.223135e+02 5.848692e+06 9.1 9.1 0.348 8.0
Sierra Leone 2005 Developing 43.3 48 30 3.83 4.208893e+01 NA 29 19.2 47 67 12.25 65 2.2 2.876892e+02 5.658379e+06 9.3 9.3 0.341 7.8
Sierra Leone 2004 Developing 42.3 496 30 3.99 3.852455e+01 NA 7 18.8 47 69 11.66 65 2.1 2.631458e+02 5.439695e+06 9.5 9.5 0.332 7.6
Sierra Leone 2003 Developing 41.5 57 30 4.07 3.861473e+01 NA 586 18.4 47 66 11.69 73 1.9 2.637618e+02 5.199549e+06 9.7 9.8 0.322 7.4
Sierra Leone 2002 Developing 48.0 513 30 4.06 3.659115e+01 NA 568 17.9 48 54 11.96 53 1.7 2.499395e+02 4.957216e+06 9.9 1.0 0.306 7.2
Sierra Leone 2001 Developing 41.0 519 30 4.21 3.334691e+01 NA 649 17.5 48 38 11.83 38 1.5 2.277795e+02 4.739147e+06 1.1 1.2 0.302 7.0
Sierra Leone 2000 Developing 39.0 533 29 3.97 2.039568e+01 NA 3575 17.2 48 46 13.63 44 1.2 1.393148e+02 4.564297e+06 1.3 1.4 0.292 6.7
Singapore 2015 Developed 83.1 55 0 1.79 0.000000e+00 96 0 33.2 0 96 NA 96 0.1 5.362974e+04 NA 2.2 2.2 0.924 15.4
Singapore 2014 Developed 82.9 56 0 1.83 7.971646e+03 96 0 32.9 0 96 4.92 96 0.1 5.633672e+04 NA 2.2 2.2 0.922 15.4
Singapore 2013 Developed 82.7 57 0 1.83 7.143441e+02 97 138 32.7 0 97 4.53 97 0.1 5.629189e+03 NA 2.2 2.2 0.920 15.4
Singapore 2012 Developed 82.5 59 0 1.89 6.041859e+03 97 42 32.4 0 97 4.22 97 0.1 5.443116e+04 NA 2.2 2.1 0.917 15.4
Singapore 2011 Developed 82.2 6 0 1.80 6.380001e+02 96 148 32.1 0 96 3.93 96 0.1 5.316668e+04 NA 2.1 2.1 0.911 15.2
Singapore 2010 Developed 82.0 61 0 1.84 4.540544e+03 96 50 31.8 0 96 3.96 96 0.1 4.656968e+04 NA 2.1 2.1 0.889 14.5
Singapore 2009 Developed 81.7 62 0 1.73 4.629307e+02 96 16 31.5 0 97 4.27 97 0.1 3.857756e+04 NA 2.1 2.1 0.887 14.4
Singapore 2008 Developed 81.4 64 0 1.70 3.404131e+03 97 18 31.2 0 97 3.91 97 0.1 3.972148e+04 NA 2.1 2.1 0.880 14.2
Singapore 2007 Developed 81.1 65 0 1.60 3.082974e+03 96 15 3.9 0 97 3.46 97 0.1 3.922358e+04 NA 2.1 2.0 0.873 14.1
Singapore 2006 Developed 87.0 66 0 1.55 2.639377e+03 95 23 3.5 0 95 3.66 95 0.1 3.357986e+04 NA 2.1 2.0 0.839 13.9
Singapore 2005 Developed 82.0 69 0 1.49 2.356731e+03 96 33 3.2 0 96 3.74 96 0.1 2.986985e+04 NA 2.1 2.0 0.821 12.6
Singapore 2004 Developed 79.7 71 0 1.45 2.042482e+02 94 96 29.9 0 95 3.17 95 0.1 2.745271e+03 NA 2.1 2.0 0.820 12.7
Singapore 2003 Developed 79.3 73 0 1.43 2.263068e+03 95 33 29.6 0 96 3.63 96 0.1 2.357363e+04 NA 2.1 2.0 0.819 12.7
Singapore 2002 Developed 79.0 74 0 2.16 1.420990e+02 95 211 29.2 0 94 2.84 94 0.1 2.216833e+03 NA 2.1 2.0 0.818 12.6
Singapore 2001 Developed 78.7 76 0 2.08 1.003367e+03 95 408 28.9 0 95 2.37 96 0.1 2.157778e+04 NA 2.1 2.0 0.820 12.7
Singapore 2000 Developed 78.3 78 0 2.03 1.855829e+03 97 141 28.5 0 98 2.71 98 0.1 2.379268e+04 NA 2.1 2.0 0.810 12.5
Slovakia 2015 Developed 76.7 19 0 NA 0.000000e+00 96 1 59.1 0 96 NA 96 0.1 NA NA 1.2 1.2 0.842 15.0
Slovakia 2014 Developed 76.4 113 0 10.60 0.000000e+00 97 0 58.4 0 97 8.50 97 0.1 NA NA 1.2 1.2 0.841 15.1
Slovakia 2013 Developed 76.1 114 0 9.89 0.000000e+00 98 0 57.8 0 98 8.00 98 0.1 NA NA 1.2 1.3 0.838 15.0
Slovakia 2012 Developed 75.8 118 0 10.12 0.000000e+00 99 0 57.2 0 99 8.15 99 0.1 NA NA 1.2 1.3 0.835 15.0
Slovakia 2011 Developed 75.6 122 0 10.24 0.000000e+00 99 0 56.5 0 99 7.96 99 0.1 NA NA 1.2 1.3 0.829 15.0
Slovakia 2010 Developed 75.1 124 0 10.13 0.000000e+00 99 0 55.9 0 99 8.51 99 0.1 NA NA 1.3 1.3 0.822 15.0
Slovakia 2009 Developed 75.0 131 0 10.63 0.000000e+00 99 0 55.3 0 99 9.15 99 0.1 NA NA 1.3 1.4 0.820 14.9
Slovakia 2008 Developed 74.7 136 0 11.37 0.000000e+00 99 0 54.8 0 99 8.20 99 0.1 NA NA 1.3 1.4 0.813 14.8
Slovakia 2007 Developed 74.4 14 0 10.58 0.000000e+00 99 0 54.2 0 99 7.76 99 0.1 NA NA 1.3 1.4 0.802 14.5
Slovakia 2006 Developed 74.3 138 0 10.28 0.000000e+00 99 0 53.7 0 99 7.35 99 0.1 NA NA 1.4 1.5 0.793 14.3
Slovakia 2005 Developed 74.0 141 0 10.81 0.000000e+00 99 0 53.1 0 99 7.40 99 0.1 NA NA 1.4 1.5 0.784 14.0
Slovakia 2004 Developed 74.1 138 0 10.03 0.000000e+00 99 2 52.6 0 99 7.21 99 0.1 NA NA 1.4 1.5 0.776 13.8
Slovakia 2003 Developed 73.8 144 0 9.85 0.000000e+00 99 1 52.1 0 98 5.82 99 0.1 NA NA 1.5 1.6 0.771 13.6
Slovakia 2002 Developed 73.7 145 0 10.78 0.000000e+00 99 0 51.6 0 98 5.63 99 0.1 NA NA 1.5 1.6 0.763 13.3
Slovakia 2001 Developed 73.3 145 0 10.73 0.000000e+00 99 0 51.1 1 99 5.50 99 0.1 NA NA 1.5 1.6 0.763 13.3
Slovakia 2000 Developed 73.0 147 0 11.06 0.000000e+00 98 0 5.7 1 98 5.50 99 0.1 NA NA 1.6 1.7 0.761 13.0
Slovenia 2015 Developed 88.0 74 0 NA 0.000000e+00 NA 18 6.1 0 95 NA 95 0.1 2.729864e+03 2.635310e+05 1.4 1.3 0.888 17.3
Slovenia 2014 Developed 87.0 76 0 10.46 3.113493e+01 NA 52 59.5 0 95 9.23 95 0.1 2.426729e+02 2.619800e+04 1.4 1.4 0.888 17.6
Slovenia 2013 Developed 85.0 78 0 9.53 2.597787e+02 NA 1 58.9 0 95 9.29 95 0.1 2.315318e+03 2.599530e+05 1.4 1.4 0.878 16.8
Slovenia 2012 Developed 82.0 81 0 10.95 3.283025e+03 NA 2 58.2 0 96 9.37 96 0.1 2.248647e+04 2.571590e+05 1.5 1.5 0.877 16.8
Slovenia 2011 Developed 79.8 84 0 10.61 3.343026e+03 NA 22 57.6 0 96 9.80 96 0.1 2.498525e+04 2.528430e+05 1.6 1.6 0.876 17.0
Slovenia 2010 Developed 79.5 87 0 10.32 3.187496e+03 NA 2 57.0 0 96 9.70 96 0.1 2.343747e+04 2.485830e+05 1.6 1.6 0.872 16.9
Slovenia 2009 Developed 79.1 9 0 10.52 3.505389e+03 NA 0 56.4 0 96 9.38 96 0.1 2.463380e+04 2.396690e+05 1.7 1.7 0.873 16.9
Slovenia 2008 Developed 78.9 96 0 10.94 3.929589e+02 NA 0 55.8 0 97 8.47 97 0.1 2.751813e+03 2.213160e+05 1.7 1.7 0.869 16.9
Slovenia 2007 Developed 78.3 12 0 11.02 3.256724e+03 NA 0 55.2 0 97 7.98 97 0.1 2.384132e+04 2.181220e+05 1.8 1.8 0.865 16.8
Slovenia 2006 Developed 78.1 17 0 12.26 2.724178e+03 NA 0 54.7 0 97 8.42 97 0.1 1.972613e+04 2.686800e+04 1.8 1.9 0.858 16.7
Slovenia 2005 Developed 77.5 14 0 11.14 2.503714e+03 NA 0 54.1 0 95 8.50 95 0.1 1.816919e+04 2.474000e+03 1.9 2.0 0.853 16.3
Slovenia 2004 Developed 77.2 113 0 10.00 2.353785e+02 NA 0 53.5 0 94 8.47 94 0.1 1.726915e+03 1.997120e+05 2.0 2.0 0.850 16.6
Slovenia 2003 Developed 76.5 119 0 11.58 2.033252e+02 NA 0 52.9 0 95 8.77 95 0.1 1.488472e+03 1.995733e+06 2.0 2.1 0.843 16.1
Slovenia 2002 Developed 76.6 117 0 9.29 1.617473e+03 NA 0 52.3 0 93 8.62 93 0.1 1.181500e+04 1.994530e+05 2.1 2.2 0.835 15.6
Slovenia 2001 Developed 76.2 124 0 10.80 1.963026e+02 NA 0 51.8 0 93 8.57 92 0.1 1.479296e+03 1.992600e+04 2.2 2.2 0.824 14.7
Slovenia 2000 Developed 76.0 122 0 11.90 1.614474e+02 NA 0 51.2 0 93 8.26 91 0.1 1.227737e+03 1.988925e+06 2.2 2.3 0.818 14.6
Solomon Islands 2015 Developing 69.2 177 0 NA 0.000000e+00 98 0 5.5 0 99 NA 98 0.1 1.922414e+03 5.874820e+05 1.1 1.2 0.514 9.6
Solomon Islands 2014 Developing 68.8 183 0 0.01 3.718439e+00 88 0 49.7 0 94 5.50 88 0.1 2.965262e+01 5.755400e+04 1.1 1.2 0.512 9.6
Solomon Islands 2013 Developing 68.8 182 0 0.01 2.473329e+01 94 0 48.9 0 99 5.42 94 0.1 1.885159e+02 5.635130e+05 1.1 1.2 0.509 9.5
Solomon Islands 2012 Developing 68.7 184 0 0.01 2.479492e+02 99 0 48.1 0 99 5.48 99 0.1 1.858690e+03 5.515310e+05 1.2 1.2 0.505 9.4
Solomon Islands 2011 Developing 68.5 186 0 0.99 2.296687e+02 99 0 47.2 0 99 5.80 99 0.1 1.642838e+03 5.396140e+05 1.2 1.2 0.497 9.4
Solomon Islands 2010 Developing 68.3 188 0 1.10 2.952080e+01 9 0 46.4 0 94 7.47 9 0.1 1.272448e+03 5.277900e+04 1.2 1.2 0.492 9.3
Solomon Islands 2009 Developing 68.1 192 0 1.21 2.443976e+02 92 0 45.5 0 98 7.92 92 0.1 1.158283e+03 5.167900e+04 1.2 1.2 0.494 9.3
Solomon Islands 2008 Developing 68.0 193 0 1.09 1.974929e+01 89 0 44.7 0 94 5.97 89 0.1 1.257917e+02 5.447700e+04 1.2 1.2 0.489 9.2
Solomon Islands 2007 Developing 67.6 2 0 0.85 2.890135e+01 9 0 43.8 0 93 6.42 9 0.1 1.469311e+02 4.929400e+04 1.2 1.2 0.482 9.0
Solomon Islands 2006 Developing 67.6 2 0 0.99 2.404851e+02 99 0 43.0 0 99 6.66 99 0.1 9.486593e+02 4.814220e+05 1.3 1.3 0.470 8.4
Solomon Islands 2005 Developing 67.4 24 0 0.90 2.531156e+01 83 0 42.1 0 9 7.83 89 0.1 8.887486e+01 4.698850e+05 1.3 1.3 0.465 8.3
Solomon Islands 2004 Developing 67.1 29 0 1.18 1.955259e+02 81 0 41.3 0 89 5.64 9 0.1 8.184426e+02 4.583240e+05 1.3 1.3 0.459 8.1
Solomon Islands 2003 Developing 66.8 215 0 1.18 1.683171e+01 79 0 4.4 0 84 6.00 84 0.1 7.447657e+02 4.467690e+05 1.3 1.3 0.453 8.0
Solomon Islands 2002 Developing 66.5 22 0 1.08 1.562848e+02 75 0 39.6 0 78 6.90 78 0.1 7.849563e+02 4.352620e+05 1.4 1.4 0.446 7.3
Solomon Islands 2001 Developing 66.2 227 0 0.70 3.251115e+02 83 0 38.7 0 88 6.44 84 0.1 9.448168e+02 4.238530e+05 1.4 1.4 0.442 6.6
Solomon Islands 2000 Developing 65.8 235 0 0.71 4.249261e+00 81 0 37.9 0 88 4.56 86 0.1 1.545186e+02 4.126900e+04 1.4 1.4 0.455 7.2
Somalia 2015 Developing 55.0 312 50 NA 0.000000e+00 42 7497 24.3 80 47 NA 42 0.7 4.269854e+02 NA 6.6 6.4 NA NA
Somalia 2014 Developing 54.3 321 51 0.01 0.000000e+00 42 10229 23.8 80 47 NA 42 0.8 4.178914e+02 NA 6.7 6.5 NA NA
Somalia 2013 Developing 54.2 318 51 0.01 0.000000e+00 42 3173 23.3 81 47 NA 42 0.8 4.754324e+01 NA 6.8 6.6 NA NA
Somalia 2012 Developing 53.1 336 51 0.01 0.000000e+00 NA 9983 22.9 82 47 NA 42 0.8 NA NA 6.8 6.7 NA NA
Somalia 2011 Developing 53.1 329 51 0.01 0.000000e+00 NA 17298 22.4 82 49 NA 41 0.8 NA NA 6.9 6.7 NA NA
Somalia 2010 Developing 52.4 336 52 0.01 0.000000e+00 NA 115 22.0 83 49 NA 45 0.8 NA NA 7.0 6.8 NA NA
Somalia 2009 Developing 52.2 335 52 0.01 0.000000e+00 NA 13 21.5 84 41 NA 42 0.8 NA NA 7.1 6.9 NA NA
Somalia 2008 Developing 51.9 336 52 0.01 0.000000e+00 NA 1081 21.1 84 4 NA 31 0.9 NA NA 7.2 7.0 NA NA
Somalia 2007 Developing 51.5 34 52 0.01 0.000000e+00 NA 1149 2.7 84 4 NA 4 0.9 NA NA 7.3 7.1 NA NA
Somalia 2006 Developing 51.5 337 51 0.01 0.000000e+00 NA 7 2.2 83 26 NA 26 0.9 NA NA 7.4 7.2 NA NA
Somalia 2005 Developing 51.6 334 50 0.01 0.000000e+00 NA 0 19.8 82 35 NA 35 0.9 NA NA 7.5 7.3 NA NA
Somalia 2004 Developing 51.2 341 49 0.01 0.000000e+00 NA 12008 19.4 80 3 NA 3 0.9 NA NA 7.6 7.4 NA NA
Somalia 2003 Developing 51.1 344 48 0.01 0.000000e+00 NA 8257 19.0 78 4 NA 4 0.9 NA NA 7.7 7.5 NA NA
Somalia 2002 Developing 58.0 348 47 0.01 0.000000e+00 NA 9559 18.6 77 4 NA 4 0.9 NA NA 7.8 7.6 NA NA
Somalia 2001 Developing 57.0 352 46 0.01 0.000000e+00 NA 3571 18.2 75 33 NA 33 0.8 NA NA 7.9 7.7 NA NA
Somalia 2000 Developing 55.0 355 45 0.01 0.000000e+00 NA 3965 17.8 74 37 NA 33 0.8 NA NA 8.0 7.9 NA NA
South Africa 2015 Developing 62.9 328 42 NA 0.000000e+00 75 17 51.1 52 75 NA 75 3.6 5.769773e+03 5.511977e+06 4.4 5.3 0.665 13.0
South Africa 2014 Developing 62.0 347 42 7.38 9.220507e+02 8 66 5.3 52 77 8.80 77 3.7 6.479626e+03 5.414673e+07 4.9 5.9 0.660 13.0
South Africa 2013 Developing 69.0 371 43 7.34 9.785905e+02 7 25 49.5 54 73 8.78 73 4.5 6.876954e+03 5.331196e+07 5.4 6.5 0.652 12.8
South Africa 2012 Developing 59.2 48 43 7.38 1.089955e+03 68 32 48.7 56 65 8.79 65 7.6 7.548164e+03 5.256516e+06 6.0 7.3 0.644 12.8
South Africa 2011 Developing 58.9 413 43 7.38 1.237533e+02 76 92 47.9 58 69 8.61 69 8.5 8.499542e+02 5.172935e+07 6.6 8.0 0.638 12.8
South Africa 2010 Developing 58.0 428 43 7.28 1.038886e+03 71 12499 47.2 62 72 8.50 72 11.0 7.362761e+03 5.979432e+06 7.3 8.9 0.630 12.8
South Africa 2009 Developing 56.5 449 46 7.60 7.825987e+02 74 5857 46.4 70 75 8.39 76 19.0 5.888628e+03 5.255813e+06 8.1 9.8 0.622 12.8
South Africa 2008 Developing 55.3 473 50 8.19 7.800336e+02 76 39 45.7 75 77 7.75 79 23.5 5.786600e+03 4.955757e+07 8.9 1.7 0.616 12.9
South Africa 2007 Developing 54.5 486 51 8.48 8.054901e+02 83 31 45.0 79 79 7.53 82 26.4 6.125400e+03 4.888384e+07 9.7 11.7 0.612 12.9
South Africa 2006 Developing 54.0 496 54 8.50 7.321255e+02 83 81 44.3 82 79 7.57 82 28.1 5.631735e+03 4.823384e+06 1.6 12.8 0.609 12.9
South Africa 2005 Developing 53.8 498 55 8.69 7.093171e+02 79 615 43.6 84 75 7.77 79 29.5 5.414634e+03 4.766672e+05 11.6 13.9 0.609 12.9
South Africa 2004 Developing 53.7 497 55 6.96 6.220438e+02 76 830 42.9 83 73 7.93 74 29.7 4.863517e+03 4.717990e+03 12.6 15.0 0.611 12.9
South Africa 2003 Developing 54.0 485 55 6.93 5.191564e+02 71 244 42.2 82 7 8.26 69 28.9 3.775683e+03 4.641819e+07 13.5 16.1 0.613 12.9
South Africa 2002 Developing 54.9 459 54 7.04 3.465316e+02 72 1043 41.6 79 7 8.90 7 26.6 2.518398e+03 4.585548e+07 14.5 17.1 0.620 12.9
South Africa 2001 Developing 56.0 429 52 7.38 3.652586e+02 72 1166 4.9 76 71 8.31 71 24.0 2.681781e+03 4.531294e+07 15.4 18.1 0.629 13.0
South Africa 2000 Developing 57.3 397 51 7.30 4.596381e+01 73 1459 4.1 73 71 8.70 73 21.3 3.372253e+02 4.489686e+07 16.3 19.1 0.635 13.0
South Sudan 2015 Developing 57.3 332 26 NA 0.000000e+00 31 878 NA 39 41 NA 31 3.4 7.587258e+02 1.188214e+07 NA NA 0.421 4.9
South Sudan 2014 Developing 56.6 343 26 NA 4.607447e+01 NA 441 NA 39 44 2.74 39 3.5 1.151862e+03 1.153971e+06 NA NA 0.421 4.9
South Sudan 2013 Developing 56.4 345 26 NA 4.744453e+01 NA 525 NA 40 5 2.62 45 3.6 1.186113e+03 1.117749e+06 NA NA 0.417 4.9
South Sudan 2012 Developing 56.0 347 26 NA 3.833823e+01 NA 1952 NA 40 64 2.77 59 3.8 9.584558e+02 1.818258e+06 NA NA 0.419 4.9
South Sudan 2011 Developing 55.4 355 27 NA 0.000000e+00 NA 1256 NA 41 66 NA 61 3.9 1.769713e+02 1.448857e+06 NA NA 0.429 4.9
South Sudan 2010 Developing 55.0 359 27 NA 0.000000e+00 NA 0 NA 41 NA NA NA 4.0 1.562239e+03 1.671920e+05 NA NA 0.000 0.0
South Sudan 2009 Developing 54.3 369 27 NA 0.000000e+00 NA 0 NA 42 NA NA NA 4.2 1.264790e+03 9.676670e+05 NA NA 0.000 0.0
South Sudan 2008 Developing 53.6 377 27 NA 0.000000e+00 NA 0 NA 42 NA NA NA 4.2 1.678712e+03 9.263136e+06 NA NA 0.000 0.0
South Sudan 2007 Developing 53.1 381 27 NA 0.000000e+00 NA 0 NA 43 NA NA NA 4.2 NA 8.856800e+04 NA NA 0.000 0.0
South Sudan 2006 Developing 52.5 383 28 NA 0.000000e+00 NA 0 NA 43 NA NA NA 4.1 NA 8.468152e+06 NA NA 0.000 0.0
South Sudan 2005 Developing 51.9 383 28 NA 0.000000e+00 NA 0 NA 44 NA NA NA 3.9 NA 8.188770e+05 NA NA 0.000 0.0
South Sudan 2004 Developing 51.4 383 29 NA 0.000000e+00 NA 0 NA 45 NA NA NA 3.8 NA 7.787655e+06 NA NA 0.000 0.0
South Sudan 2003 Developing 58.0 383 29 NA 0.000000e+00 NA 0 NA 46 NA NA NA 3.5 NA 7.516420e+05 NA NA 0.000 0.0
South Sudan 2002 Developing 52.0 382 30 NA 0.000000e+00 NA 0 NA 48 NA NA NA 3.3 NA 7.237276e+06 NA NA 0.000 0.0
South Sudan 2001 Developing 49.6 381 30 NA 0.000000e+00 NA 0 NA 49 NA NA NA 3.0 NA 6.974442e+06 NA NA 0.000 0.0
South Sudan 2000 Developing 48.9 38 31 NA 0.000000e+00 NA 0 NA 50 NA NA NA 2.7 NA 6.765600e+04 NA NA 0.000 0.0
Spain 2015 Developed 82.8 56 1 NA 0.000000e+00 97 115 66.6 1 97 NA 97 0.1 2.568385e+04 4.644770e+07 0.6 0.5 0.882 17.7
Spain 2014 Developed 82.6 58 1 0.01 4.298848e+01 96 154 66.0 1 97 9.30 97 0.1 2.964722e+02 4.648882e+06 0.6 0.5 0.877 17.6
Spain 2013 Developed 82.4 6 1 9.25 4.236805e+02 95 131 65.4 2 96 9.10 96 0.1 2.921934e+03 4.662450e+05 0.6 0.5 0.874 17.5
Spain 2012 Developed 82.0 61 1 9.35 4.255782e+03 96 1204 64.8 2 97 9.39 97 0.1 2.856229e+04 4.677355e+06 0.6 0.5 0.871 17.2
Spain 2011 Developed 82.1 63 1 9.62 4.873819e+03 97 3802 64.1 2 97 9.48 97 0.1 3.183422e+04 4.674270e+07 0.6 0.5 0.867 16.9
Spain 2010 Developed 81.9 64 1 9.78 5.787417e+02 97 302 63.5 2 97 9.56 97 0.1 3.736228e+03 4.657690e+07 0.6 0.5 0.860 16.4
Spain 2009 Developed 81.6 66 2 9.99 5.047254e+03 96 41 62.9 2 96 9.52 96 0.1 3.233347e+04 4.636295e+07 0.6 0.5 0.858 16.3
Spain 2008 Developed 81.3 7 2 10.24 5.596535e+03 97 297 62.3 2 97 8.80 97 0.1 3.557874e+04 4.595416e+06 0.6 0.5 0.854 16.1
Spain 2007 Developed 89.0 72 2 11.05 5.109327e+02 96 267 61.7 2 96 8.36 96 0.1 3.279414e+03 4.522683e+06 0.6 0.5 0.849 16.0
Spain 2006 Developed 88.0 73 2 11.86 4.460390e+03 97 362 61.1 2 98 8.23 98 0.1 2.848269e+04 4.439732e+07 0.6 0.5 0.844 15.9
Spain 2005 Developed 81.0 77 2 11.92 4.054476e+02 96 22 6.5 2 96 8.12 96 0.1 2.651717e+03 4.365316e+07 0.6 0.5 0.837 15.8
Spain 2004 Developed 81.0 79 2 11.96 3.715370e+03 97 26 59.9 2 97 8.50 97 0.1 2.491865e+04 4.292190e+07 0.6 0.5 0.833 15.6
Spain 2003 Developed 79.4 83 2 12.09 3.205020e+03 81 256 59.3 2 99 7.99 98 0.1 2.149577e+04 4.218765e+07 0.6 0.5 0.830 15.6
Spain 2002 Developed 79.5 83 2 12.26 2.283543e+02 82 67 58.8 2 98 7.25 98 0.1 1.719535e+03 4.143156e+07 0.6 0.5 0.828 15.7
Spain 2001 Developed 79.4 84 2 9.86 2.044170e+03 83 0 58.2 2 95 7.24 96 0.1 1.532361e+04 4.854120e+05 0.6 0.5 0.825 15.7
Spain 2000 Developed 79.1 86 2 11.12 1.934398e+03 77 152 57.6 2 95 7.21 95 0.1 1.467677e+04 4.567864e+06 0.6 0.5 0.820 15.7
Sri Lanka 2015 Developing 74.9 138 3 NA 0.000000e+00 99 1568 23.4 3 99 NA 99 0.1 3.844891e+03 2.966000e+03 15.1 15.0 0.764 14.0
Sri Lanka 2014 Developing 74.7 141 3 2.37 4.273083e+01 99 1686 22.7 3 99 3.50 99 0.1 3.825499e+02 2.771000e+03 15.2 15.0 0.760 14.0
Sri Lanka 2013 Developing 74.6 142 3 2.56 4.162054e+01 99 2107 21.9 3 99 3.68 99 0.1 3.612894e+02 2.585000e+03 15.2 15.1 0.757 13.8
Sri Lanka 2012 Developing 74.5 143 3 2.80 2.076877e+01 99 51 21.2 4 99 3.21 99 0.1 3.355214e+02 2.425000e+03 15.3 15.2 0.752 13.7
Sri Lanka 2011 Developing 74.5 141 3 3.03 2.083302e+01 99 60 2.5 4 99 3.28 99 0.1 3.229926e+02 2.271000e+03 15.3 15.3 0.746 13.6
Sri Lanka 2010 Developing 74.5 138 3 2.31 1.917268e+02 99 79 19.8 4 99 3.43 99 0.1 2.819511e+03 2.119000e+03 15.3 15.3 0.739 13.5
Sri Lanka 2009 Developing 71.8 183 4 2.05 1.339092e+01 97 21 19.2 4 97 3.37 97 0.1 2.166816e+02 1.996800e+04 15.3 15.4 0.735 13.4
Sri Lanka 2008 Developing 72.3 172 4 2.10 1.781424e+01 98 33 18.5 4 98 3.44 98 0.1 2.544892e+02 1.981700e+04 15.4 15.4 0.731 13.3
Sri Lanka 2007 Developing 73.7 146 4 2.29 1.276378e+02 98 44 17.9 5 98 3.76 98 0.1 1.644816e+03 1.966800e+04 15.4 15.5 0.725 13.2
Sri Lanka 2006 Developing 73.8 145 4 1.96 1.202472e+02 98 0 17.2 5 98 4.60 98 0.1 1.448761e+03 1.952000e+03 15.4 15.5 0.718 13.1
Sri Lanka 2005 Developing 74.2 138 4 1.97 9.776637e+01 99 3 16.6 5 99 4.60 99 0.1 1.259876e+03 1.937300e+04 15.4 15.5 0.712 12.9
Sri Lanka 2004 Developing 69.1 197 6 1.56 1.535342e+01 62 35 16.1 10 97 4.28 97 0.1 1.746692e+02 1.922800e+04 15.4 15.5 0.705 12.8
Sri Lanka 2003 Developing 73.9 146 5 1.69 7.242809e+01 32 65 15.6 5 98 3.95 99 0.1 9.894548e+02 1.983000e+03 15.4 15.5 0.697 12.7
Sri Lanka 2002 Developing 73.7 149 5 1.62 5.963596e+01 NA 139 15.1 5 98 3.89 98 0.1 8.731472e+02 1.893900e+04 15.4 15.6 0.699 12.6
Sri Lanka 2001 Developing 72.7 16 5 1.68 5.361279e+01 NA 309 14.6 6 98 3.81 98 0.1 8.376998e+02 1.879700e+04 15.4 15.6 0.686 12.5
Sri Lanka 2000 Developing 71.5 175 5 1.45 6.049098e+01 NA 16527 14.1 6 99 3.77 99 0.1 8.754122e+02 1.865500e+04 15.3 15.5 0.677 12.4
Sudan 2015 Developing 64.1 225 58 NA 0.000000e+00 93 3585 NA 85 93 NA 93 0.3 2.513885e+03 3.864783e+06 NA NA 0.488 7.2
Sudan 2014 Developing 63.8 229 59 0.01 2.536087e+02 94 676 NA 86 94 8.43 94 0.3 2.176898e+03 3.773791e+07 NA NA 0.485 7.2
Sudan 2013 Developing 63.5 232 60 0.01 2.278353e+02 93 2813 NA 88 93 8.42 93 0.3 1.955668e+03 3.684992e+07 NA NA 0.478 7.0
Sudan 2012 Developing 63.2 235 61 0.01 2.205222e+02 92 8523 NA 89 92 8.20 92 0.3 1.892894e+03 3.599192e+06 NA NA 0.468 6.8
Sudan 2011 Developing 62.7 241 61 2.12 1.966892e+02 93 5616 NA 91 93 8.30 93 0.3 1.666858e+03 3.516731e+07 NA NA 0.463 7.0
Sudan 2010 Developing 62.5 243 62 1.77 1.720098e+02 75 680 NA 92 9 7.97 9 0.3 1.476479e+03 3.438596e+07 NA NA 0.461 7.0
Sudan 2009 Developing 62.0 248 63 1.99 1.705369e+01 72 68 NA 94 81 8.40 81 0.3 1.226884e+03 3.365619e+06 NA NA 0.456 6.8
Sudan 2008 Developing 61.8 251 64 2.01 1.286363e+02 78 129 NA 95 85 8.17 86 0.3 1.291529e+03 3.295550e+07 NA NA 0.444 6.3
Sudan 2007 Developing 61.4 254 65 2.01 8.613167e+01 78 327 NA 97 84 4.72 84 0.3 1.115695e+03 3.228253e+07 NA NA 0.440 6.4
Sudan 2006 Developing 61.0 26 66 1.90 6.033686e+01 6 228 NA 99 77 3.93 78 0.2 8.938794e+02 3.167640e+05 NA NA 0.430 6.2
Sudan 2005 Developing 67.0 261 66 1.55 3.759040e+01 22 1374 NA 101 78 3.18 78 0.2 6.797540e+02 3.911914e+06 NA NA 0.423 6.1
Sudan 2004 Developing 59.7 278 68 1.59 3.704480e+01 NA 9562 NA 102 74 3.39 74 0.2 5.655695e+02 3.186341e+06 NA NA 0.415 5.7
Sudan 2003 Developing 59.6 278 69 1.74 3.535265e+01 NA 4381 NA 104 69 3.18 69 0.2 4.777385e+02 2.943594e+07 NA NA 0.409 5.6
Sudan 2002 Developing 59.4 277 70 1.59 3.062288e+01 NA 4529 NA 106 6 2.95 6 0.2 4.121518e+02 2.867957e+07 NA NA 0.403 5.6
Sudan 2001 Developing 58.9 283 71 1.81 2.888070e+01 NA 4362 NA 108 66 2.96 66 0.2 3.775254e+02 2.794550e+05 NA NA 0.399 5.6
Sudan 2000 Developing 58.6 284 71 1.76 3.086001e+01 NA 2875 NA 109 62 3.23 62 0.1 3.613584e+02 2.725535e+06 NA NA 0.394 5.5
Suriname 2015 Developing 71.6 176 0 NA 0.000000e+00 89 0 58.3 0 89 NA 89 0.4 8.818983e+03 5.532800e+04 3.5 3.5 0.723 12.7
Suriname 2014 Developing 71.4 178 0 6.32 1.132433e+03 85 0 57.7 0 85 5.69 85 0.4 9.564464e+03 5.479280e+05 3.5 3.5 0.722 12.7
Suriname 2013 Developing 71.2 179 0 6.02 1.122973e+03 86 0 57.0 0 86 5.96 86 0.4 9.484569e+03 5.425400e+04 3.5 3.5 0.719 12.7
Suriname 2012 Developing 71.3 178 0 5.73 1.168324e+03 84 0 56.3 0 84 6.90 84 0.9 9.272413e+03 5.377700e+04 3.5 3.4 0.708 12.7
Suriname 2011 Developing 76.0 187 0 5.64 9.891264e+02 86 0 55.5 0 86 5.93 86 0.1 8.318977e+03 5.315890e+05 3.5 3.4 0.704 12.5
Suriname 2010 Developing 73.0 19 0 5.26 9.908095e+01 86 0 54.8 0 96 5.81 96 0.5 8.333133e+02 5.261300e+04 3.5 3.4 0.700 12.3
Suriname 2009 Developing 70.0 196 0 5.13 8.850740e+02 87 0 54.1 0 85 6.14 87 0.6 7.443852e+03 5.261900e+04 3.5 3.4 0.696 12.1
Suriname 2008 Developing 69.8 196 0 4.94 8.154356e+02 84 0 53.3 0 85 5.92 85 1.2 6.858163e+03 5.151480e+05 3.5 3.4 0.691 11.9
Suriname 2007 Developing 69.5 22 0 4.72 6.850299e+02 84 0 52.6 0 84 5.92 84 0.8 5.761395e+03 5.975000e+03 3.5 3.4 0.684 11.7
Suriname 2006 Developing 69.3 199 0 4.52 7.280017e+01 84 0 51.8 0 84 6.22 84 0.6 5.279200e+02 5.437000e+03 3.5 3.4 0.678 11.5
Suriname 2005 Developing 68.9 25 0 4.47 4.189207e+02 83 0 51.1 0 84 6.78 83 0.6 3.595885e+03 4.989460e+05 3.5 3.4 0.672 11.3
Suriname 2004 Developing 68.3 214 0 4.55 4.232577e+00 NA 0 5.4 0 84 6.88 85 0.9 3.648773e+01 4.936300e+04 3.5 3.5 0.000 11.1
Suriname 2003 Developing 68.0 223 0 4.53 3.236621e+01 NA 0 49.7 0 74 6.62 75 1.0 2.631399e+02 4.883320e+05 3.5 3.5 0.000 10.9
Suriname 2002 Developing 67.9 221 0 4.41 2.507112e+02 NA 0 49.0 0 74 7.14 73 1.6 2.232513e+03 4.834400e+04 3.5 3.5 0.000 11.0
Suriname 2001 Developing 67.7 219 0 4.23 1.912135e+02 NA 0 48.3 0 65 8.38 68 1.8 1.598775e+03 4.777400e+04 3.6 3.5 0.000 11.0
Suriname 2000 Developing 67.4 224 0 4.29 2.681838e+02 NA 0 47.6 0 7 9.65 71 0.4 1.888618e+03 4.723900e+04 3.6 3.6 0.000 11.1
Swaziland 2015 Developing 58.9 373 2 NA 0.000000e+00 9 0 32.3 3 84 NA 9 7.1 3.136925e+03 1.319110e+05 4.0 4.1 0.541 11.4
Swaziland 2014 Developing 58.4 382 2 0.01 5.743895e+02 98 0 31.8 3 98 9.25 98 7.3 3.464352e+03 1.295970e+05 4.3 4.3 0.541 11.4
Swaziland 2013 Developing 57.6 393 2 0.01 7.089557e+02 98 0 31.2 3 98 9.66 98 9.8 3.598760e+03 1.271456e+06 4.5 4.6 0.539 11.4
Swaziland 2012 Developing 56.5 412 2 0.01 7.202334e+02 95 0 3.7 3 92 8.76 95 12.2 3.851515e+03 1.248158e+06 4.8 4.9 0.534 11.3
Swaziland 2011 Developing 55.0 438 2 5.20 7.357091e+02 91 0 3.2 3 85 8.61 91 15.7 3.934273e+03 1.225258e+06 5.1 5.2 0.526 11.2
Swaziland 2010 Developing 53.6 459 2 4.93 5.693671e+01 89 313 29.7 4 89 8.47 89 21.6 3.692393e+02 1.228430e+05 5.4 5.6 0.523 11.0
Swaziland 2009 Developing 52.6 46 3 4.90 4.761645e+01 88 26 29.3 4 89 8.46 88 33.7 3.325171e+02 1.186750e+05 5.8 5.9 0.519 10.8
Swaziland 2008 Developing 51.4 477 3 4.87 4.130063e+02 9 1 28.9 4 89 8.19 88 40.2 2.842438e+03 1.158897e+06 6.1 6.3 0.514 10.6
Swaziland 2007 Developing 50.0 51 3 5.55 4.336650e+01 92 0 28.5 4 88 7.50 87 40.7 3.474880e+02 1.138434e+06 6.5 6.7 0.508 10.5
Swaziland 2006 Developing 47.8 564 3 5.53 4.370802e+02 93 0 28.2 4 88 6.81 87 43.7 2.937367e+03 1.125140e+05 6.9 7.1 0.502 9.9
Swaziland 2005 Developing 46.0 63 3 5.08 3.721651e+02 95 0 27.8 4 88 6.80 86 49.1 2.873862e+03 1.158730e+05 7.3 7.5 0.495 9.7
Swaziland 2004 Developing 45.6 69 3 5.78 3.743858e+01 93 0 27.4 4 88 5.88 86 50.3 2.529634e+03 1.955300e+04 7.7 7.9 0.492 9.4
Swaziland 2003 Developing 45.9 6 3 5.65 2.819125e+00 9 350 27.1 4 87 5.71 85 50.6 2.299449e+01 1.873920e+05 8.2 8.4 0.493 9.1
Swaziland 2002 Developing 46.4 587 3 5.52 1.310421e+02 88 37 26.7 4 87 5.16 85 49.9 1.324996e+03 1.893000e+03 8.6 8.8 0.502 9.2
Swaziland 2001 Developing 47.1 568 3 6.72 1.436197e+02 86 49 26.3 4 87 5.11 84 48.8 1.437635e+03 1.729270e+05 9.0 9.2 0.506 9.3
Swaziland 2000 Developing 48.4 536 3 7.19 2.521683e+01 83 10 25.9 4 87 5.26 84 46.4 1.637457e+03 1.614680e+05 9.4 9.6 0.516 9.4
Sweden 2015 Developed 82.4 53 0 NA 0.000000e+00 67 22 59.5 0 98 NA 98 0.1 5.585258e+03 9.799186e+06 1.5 1.4 0.909 15.9
Sweden 2014 Developed 82.3 54 0 7.30 1.142212e+03 67 26 59.0 0 98 11.93 98 0.1 5.918199e+03 9.696110e+05 1.5 1.3 0.906 15.8
Sweden 2013 Developed 81.9 57 0 7.30 1.212666e+03 67 51 58.5 0 98 11.97 98 0.1 6.283245e+03 9.637900e+04 1.4 1.3 0.904 15.8
Sweden 2012 Developed 81.7 57 0 7.40 1.094702e+04 53 30 58.1 0 98 11.80 98 0.1 5.713478e+04 9.519374e+06 1.4 1.3 0.903 15.8
Sweden 2011 Developed 81.7 58 0 7.40 1.147767e+04 42 26 57.7 0 98 11.70 98 0.1 5.959329e+04 9.449213e+06 1.4 1.3 0.901 16.0
Sweden 2010 Developed 81.5 58 0 7.20 7.782477e+02 NA 6 57.3 0 98 9.47 98 0.1 5.276256e+03 9.378126e+06 1.3 1.3 0.895 15.8
Sweden 2009 Developed 81.4 62 0 7.30 6.821071e+02 NA 3 56.9 0 98 9.94 98 0.1 4.627592e+03 9.298515e+06 1.3 1.3 0.898 15.8
Sweden 2008 Developed 81.1 62 0 6.90 8.105591e+03 NA 25 56.5 0 98 9.23 98 0.1 5.574684e+04 9.219637e+06 1.3 1.3 0.897 15.7
Sweden 2007 Developed 89.0 63 0 6.90 7.593392e+03 NA 1 56.1 0 98 8.92 98 0.1 5.332438e+04 9.148920e+05 1.3 1.3 0.895 15.8
Sweden 2006 Developed 88.0 64 0 6.50 6.369516e+03 NA 19 55.7 0 98 8.95 98 0.1 4.625647e+04 9.855000e+03 1.3 1.3 0.892 15.9
Sweden 2005 Developed 85.0 66 0 6.50 5.990392e+02 NA 13 55.3 0 98 9.60 98 0.1 4.385353e+03 9.295720e+05 1.3 1.3 0.890 16.0
Sweden 2004 Developed 83.0 7 0 6.60 5.793364e+03 NA 5 54.9 0 99 9.90 99 0.1 4.244222e+04 8.993531e+06 1.3 1.3 0.888 16.0
Sweden 2003 Developed 82.0 69 0 6.90 5.067411e+03 NA 3 54.4 0 99 9.31 99 0.1 3.696143e+04 8.958229e+06 1.3 1.3 0.882 15.9
Sweden 2002 Developed 79.9 71 0 6.90 3.998100e+03 NA 9 53.9 0 99 9.23 99 0.1 2.957174e+04 8.924958e+06 1.3 1.3 0.880 15.9
Sweden 2001 Developed 79.8 73 0 6.60 3.554546e+03 NA 5 53.4 0 99 8.86 99 0.1 2.696924e+04 8.895960e+05 1.3 1.3 0.877 15.9
Sweden 2000 Developed 79.6 73 0 6.20 3.689727e+03 NA 59 52.8 0 99 8.18 99 0.1 2.928355e+04 8.872190e+05 1.4 1.3 0.873 15.9
Switzerland 2015 Developed 83.4 49 0 NA 0.000000e+00 NA 35 57.4 0 97 NA 97 0.1 8.989842e+03 8.282396e+06 0.4 0.3 0.938 16.0
Switzerland 2014 Developed 83.2 51 0 9.61 1.947991e+04 NA 23 57.0 0 96 11.66 96 0.1 8.581459e+04 8.188649e+06 0.4 0.3 0.936 15.9
Switzerland 2013 Developed 83.0 52 0 9.73 1.909905e+04 NA 175 56.6 0 96 11.71 96 0.1 8.465889e+04 8.893460e+05 0.4 0.3 0.934 15.8
Switzerland 2012 Developed 82.7 54 0 9.86 1.837933e+04 NA 61 56.2 0 96 11.59 96 0.1 8.316439e+04 7.996861e+06 0.5 0.3 0.932 15.7
Switzerland 2011 Developed 82.6 55 0 9.99 1.882287e+04 NA 621 55.8 0 96 11.21 96 0.1 8.799844e+04 7.912398e+06 0.5 0.3 0.932 15.6
Switzerland 2010 Developed 82.3 57 0 10.01 2.198591e+03 NA 77 55.4 0 96 11.70 95 0.1 7.427672e+04 7.824990e+05 0.5 0.4 0.920 15.4
Switzerland 2009 Developed 82.1 6 0 10.15 1.471483e+04 NA 958 55.0 0 96 11.00 95 0.1 6.967247e+04 7.743831e+06 0.5 0.4 0.916 15.3
Switzerland 2008 Developed 82.0 6 0 10.29 2.084256e+03 NA 2022 54.6 0 96 1.29 95 0.1 7.211957e+04 7.647675e+06 0.5 0.4 0.914 15.3
Switzerland 2007 Developed 81.7 63 0 10.44 1.189233e+04 NA 1015 54.1 0 94 1.21 94 0.1 6.322347e+04 7.551117e+06 0.5 0.4 0.911 15.3
Switzerland 2006 Developed 81.5 65 0 10.24 1.059808e+04 NA 0 53.7 0 94 1.39 94 0.1 5.734893e+04 7.483934e+06 0.6 0.4 0.904 15.2
Switzerland 2005 Developed 81.1 66 0 10.15 1.005535e+04 NA 60 53.2 0 94 1.86 94 0.1 5.479755e+04 7.437115e+06 0.6 0.4 0.899 15.2
Switzerland 2004 Developed 81.0 69 0 10.55 9.495541e+03 NA 39 52.8 0 95 1.96 93 0.1 5.325598e+04 7.389625e+06 0.6 0.4 0.895 15.1
Switzerland 2003 Developed 85.0 72 0 10.82 8.422768e+02 NA 574 52.3 0 95 1.93 93 0.1 4.796565e+03 7.339100e+04 0.6 0.5 0.889 15.0
Switzerland 2002 Developed 84.0 74 0 10.85 6.853628e+03 NA 0 51.8 0 95 1.61 93 0.1 4.133672e+04 7.284753e+06 0.6 0.5 0.890 15.2
Switzerland 2001 Developed 82.0 75 0 11.12 6.478346e+03 NA 700 51.3 0 95 1.28 93 0.1 3.853864e+04 7.229854e+06 0.7 0.5 0.888 15.2
Switzerland 2000 Developed 79.7 78 0 11.26 5.834582e+03 NA 0 5.8 0 95 9.91 93 0.1 3.781323e+04 7.184250e+05 0.7 0.5 0.879 15.1
Syrian Arab Republic 2015 Developing 64.5 293 6 NA 0.000000e+00 41 45 57.1 8 5 NA 41 0.1 NA 1.873499e+07 6.3 6.1 0.553 9.0
Syrian Arab Republic 2014 Developing 64.4 294 7 0.01 0.000000e+00 47 594 56.2 8 52 3.25 43 0.1 NA 1.923900e+04 6.3 6.1 0.575 9.0
Syrian Arab Republic 2013 Developing 63.6 37 7 0.01 0.000000e+00 71 740 55.2 9 5 3.25 41 0.1 NA 1.989141e+06 6.3 6.1 0.635 13.0
Syrian Arab Republic 2012 Developing 62.8 32 7 0.01 0.000000e+00 43 13 54.2 9 47 3.25 45 0.1 NA 2.427100e+04 6.3 6.1 0.645 12.5
Syrian Arab Republic 2011 Developing 71.7 163 7 0.76 0.000000e+00 66 13 53.2 8 6 3.23 72 0.1 NA 2.863993e+06 6.3 6.1 0.646 12.0
Syrian Arab Republic 2010 Developing 73.7 127 7 0.78 0.000000e+00 84 26 52.3 9 83 3.28 8 0.1 NA 2.118834e+06 6.4 6.1 0.650 11.7
Syrian Arab Republic 2009 Developing 73.8 124 7 0.81 0.000000e+00 84 22 51.3 9 83 3.55 8 0.1 NA 2.824893e+06 6.4 6.2 0.648 11.8
Syrian Arab Republic 2008 Developing 73.8 122 8 0.80 0.000000e+00 83 19 5.4 9 83 3.40 79 0.1 NA 2.325443e+06 6.4 6.2 0.651 11.6
Syrian Arab Republic 2007 Developing 73.8 121 8 0.83 1.798136e+01 83 403 49.4 9 83 3.72 8 0.1 2.583529e+02 1.963286e+06 6.4 6.2 0.644 11.5
Syrian Arab Republic 2006 Developing 73.7 123 8 0.97 1.226523e+02 83 517 48.5 10 83 3.78 8 0.1 1.762246e+03 1.891498e+07 6.4 6.3 0.636 11.4
Syrian Arab Republic 2005 Developing 73.5 127 9 0.92 1.162586e+02 83 375 47.6 10 83 4.11 8 0.1 1.577457e+03 1.829461e+07 6.5 6.3 0.624 11.0
Syrian Arab Republic 2004 Developing 73.2 131 9 0.93 1.021130e+01 82 189 46.8 10 84 4.48 81 0.1 1.488527e+02 1.786638e+06 6.5 6.3 0.610 10.6
Syrian Arab Republic 2003 Developing 73.0 134 9 1.29 9.475639e+01 81 801 46.0 11 85 5.12 83 0.1 1.253391e+03 1.741527e+07 6.6 6.4 0.599 10.3
Syrian Arab Republic 2002 Developing 72.8 135 9 1.25 9.170357e+01 8 538 45.3 11 86 4.94 84 0.1 1.263135e+03 1.787910e+05 6.6 6.5 0.596 10.2
Syrian Arab Republic 2001 Developing 72.7 135 10 1.29 9.350075e+01 8 290 44.6 11 83 4.92 82 0.1 1.258422e+03 1.676690e+07 6.7 6.5 0.589 10.1
Syrian Arab Republic 2000 Developing 72.6 136 10 1.41 8.172747e+01 79 146 43.9 12 86 4.92 84 0.1 1.177629e+03 1.641848e+06 6.8 6.6 0.588 10.0
Tajikistan 2015 Developing 69.7 161 10 NA 0.000000e+00 96 3 4.7 11 96 NA 96 0.2 9.186772e+02 8.548651e+06 3.6 3.7 0.625 11.3
Tajikistan 2014 Developing 69.6 162 10 0.01 7.829009e+00 97 0 39.9 11 94 6.88 97 0.2 1.144592e+02 8.362745e+06 3.6 3.7 0.622 11.3
Tajikistan 2013 Developing 69.3 163 10 0.01 1.041916e+00 96 1 39.0 11 97 6.75 96 0.2 1.421441e+01 8.177890e+05 3.6 3.7 0.617 11.2
Tajikistan 2012 Developing 68.8 164 10 0.01 7.150892e+01 94 16 38.2 12 96 6.39 94 0.2 9.547253e+02 7.995620e+05 3.6 3.7 0.613 11.1
Tajikistan 2011 Developing 68.1 166 10 0.32 5.199192e+01 96 1 37.4 12 97 5.98 96 0.2 8.345413e+02 7.815949e+06 3.7 3.7 0.608 11.1
Tajikistan 2010 Developing 67.3 171 10 0.32 4.334100e+01 93 0 36.6 12 95 6.40 93 0.2 7.383475e+02 7.641630e+05 3.7 3.8 0.603 11.1
Tajikistan 2009 Developing 66.7 174 10 0.30 3.571614e+01 93 0 35.9 12 93 5.93 93 0.2 6.663459e+02 7.472819e+06 3.7 3.8 0.601 11.1
Tajikistan 2008 Developing 66.4 178 10 0.32 4.153363e+00 86 0 35.3 12 87 5.58 86 0.3 7.691413e+01 7.397280e+05 3.8 3.8 0.592 10.8
Tajikistan 2007 Developing 66.1 181 10 0.35 2.272405e+00 84 2 34.7 12 85 5.35 86 0.3 5.235956e+01 7.152385e+06 3.8 3.8 0.586 10.9
Tajikistan 2006 Developing 65.9 183 10 0.38 2.626235e+00 88 3 34.1 12 76 5.70 83 0.3 4.428727e+01 7.557000e+03 3.8 3.9 0.579 10.7
Tajikistan 2005 Developing 65.5 194 10 0.37 1.983672e+01 81 0 33.5 12 79 5.89 84 0.3 3.373592e+02 6.854176e+06 3.8 3.9 0.572 10.6
Tajikistan 2004 Developing 65.9 177 11 0.38 2.093722e+00 81 4 33.0 13 82 5.70 86 0.3 3.928183e+01 6.712841e+06 3.9 3.9 0.563 10.5
Tajikistan 2003 Developing 65.2 182 11 0.36 1.325724e+01 58 2144 32.5 14 82 4.46 85 0.3 2.363144e+02 6.576877e+06 4.0 4.0 0.553 10.1
Tajikistan 2002 Developing 64.3 193 12 0.60 1.068147e+01 39 927 32.1 15 84 4.48 85 0.3 1.893879e+02 6.447688e+06 4.0 4.0 0.543 9.8
Tajikistan 2001 Developing 64.0 194 13 0.86 1.142004e+00 NA 38 31.6 16 84 4.59 85 0.3 1.781597e+01 6.327125e+06 4.1 4.1 0.535 9.7
Tajikistan 2000 Developing 63.7 198 14 0.37 8.943006e+00 NA 192 31.3 17 86 4.64 83 0.3 1.384366e+02 6.216250e+05 4.2 4.1 0.529 9.6
Thailand 2015 Developing 74.9 148 8 NA 0.000000e+00 99 154 33.6 9 99 NA 99 0.1 5.814863e+03 6.865760e+05 7.7 7.7 0.738 13.6
Thailand 2014 Developing 74.6 152 8 6.41 7.890773e+02 99 0 32.4 10 99 4.12 99 0.1 5.941847e+03 6.841677e+07 7.8 7.8 0.737 13.6
Thailand 2013 Developing 74.5 153 9 6.50 7.886873e+02 99 2641 31.3 10 99 4.00 99 0.1 6.171262e+03 6.814365e+06 7.9 7.9 0.733 13.6
Thailand 2012 Developing 74.3 154 9 6.56 8.010505e+02 98 5197 3.1 11 99 4.17 99 0.1 5.859916e+03 6.784398e+07 8.0 8.1 0.729 13.7
Thailand 2011 Developing 74.1 155 10 6.07 7.484451e+02 98 3156 29.0 11 99 4.12 99 0.2 5.491160e+03 6.753130e+05 8.1 8.2 0.720 13.3
Thailand 2010 Developing 73.9 158 10 5.95 7.168509e+01 98 2583 27.9 12 99 3.81 99 0.2 5.753218e+02 6.728880e+05 8.2 8.3 0.711 13.1
Thailand 2009 Developing 73.7 16 11 5.88 5.472101e+02 98 6071 26.8 12 99 4.11 99 0.3 4.212549e+03 6.688187e+07 8.3 8.5 0.706 13.0
Thailand 2008 Developing 73.5 162 11 5.92 6.099512e+02 98 7790 25.7 13 99 3.92 99 0.3 4.378687e+03 6.654576e+06 8.5 8.6 0.700 12.9
Thailand 2007 Developing 73.3 165 12 6.20 5.207639e+02 96 3893 24.6 14 98 3.56 98 0.4 3.972265e+03 6.619562e+07 8.6 8.8 0.687 12.3
Thailand 2006 Developing 73.0 168 13 6.18 4.339211e+02 96 3588 23.6 15 98 3.49 98 0.5 3.368953e+03 6.582416e+07 8.7 8.9 0.686 12.4
Thailand 2005 Developing 72.5 177 13 6.26 3.211953e+02 96 3526 22.6 15 98 3.55 98 0.5 2.893651e+03 6.542547e+06 8.9 9.1 0.682 12.0
Thailand 2004 Developing 71.6 189 14 6.17 3.013598e+02 96 4165 21.7 16 98 3.51 98 0.5 2.659839e+03 6.522310e+05 9.0 9.2 0.674 11.9
Thailand 2003 Developing 71.7 189 15 6.14 2.828365e+02 96 4519 2.9 18 98 3.58 98 0.6 2.358936e+03 6.455495e+07 9.1 9.3 0.666 11.8
Thailand 2002 Developing 71.4 192 16 5.93 2.763810e+01 95 10315 2.2 19 97 3.70 96 0.7 2.965462e+02 6.473164e+06 9.2 9.5 0.657 11.5
Thailand 2001 Developing 71.2 194 17 5.92 1.760625e+02 95 7319 19.4 20 97 3.32 96 0.8 1.893145e+03 6.354332e+07 9.3 9.6 0.649 11.2
Thailand 2000 Developing 71.1 194 18 5.88 2.756483e-01 95 4074 18.7 21 97 3.40 97 0.8 2.756483e+01 6.295821e+06 9.4 9.7 0.640 10.9
The former Yugoslav republic of Macedonia 2015 Developing 75.7 12 0 NA 0.000000e+00 92 1 6.3 0 92 NA 91 0.1 NA NA 2.1 2.1 0.746 12.9
The former Yugoslav republic of Macedonia 2014 Developing 75.5 12 0 1.13 0.000000e+00 97 116 59.7 0 96 6.48 95 0.1 NA NA 2.2 2.2 0.743 12.9
The former Yugoslav republic of Macedonia 2013 Developing 75.3 14 0 1.03 0.000000e+00 97 4 59.1 0 98 6.70 98 0.1 NA NA 2.2 2.2 0.741 12.9
The former Yugoslav republic of Macedonia 2012 Developing 75.1 15 0 1.23 0.000000e+00 98 7 58.5 0 97 6.76 95 0.1 NA NA 2.2 2.2 0.739 12.9
The former Yugoslav republic of Macedonia 2011 Developing 74.9 17 0 1.16 0.000000e+00 96 701 57.9 0 97 6.61 96 0.1 NA NA 2.2 2.3 0.735 12.9
The former Yugoslav republic of Macedonia 2010 Developing 74.7 18 0 1.47 0.000000e+00 9 217 57.4 0 95 6.83 95 0.1 NA NA 2.3 2.3 0.732 13.0
The former Yugoslav republic of Macedonia 2009 Developing 74.4 111 0 1.77 0.000000e+00 95 5 56.9 0 96 6.74 96 0.1 NA NA 2.3 2.4 0.730 13.0
The former Yugoslav republic of Macedonia 2008 Developing 74.2 111 0 1.72 0.000000e+00 97 27 56.4 0 96 6.85 95 0.1 NA NA 2.4 2.4 0.714 12.2
The former Yugoslav republic of Macedonia 2007 Developing 73.5 12 0 1.75 0.000000e+00 96 1 55.9 0 96 6.90 95 0.1 NA NA 2.4 2.5 0.709 12.2
The former Yugoslav republic of Macedonia 2006 Developing 73.7 122 0 1.74 0.000000e+00 89 3 55.4 0 92 7.61 93 0.1 NA NA 2.5 2.5 0.703 12.1
The former Yugoslav republic of Macedonia 2005 Developing 73.6 12 0 1.75 0.000000e+00 53 5 54.9 0 98 7.95 97 0.1 NA NA 2.5 2.6 0.000 11.9
The former Yugoslav republic of Macedonia 2004 Developing 73.5 12 0 2.07 0.000000e+00 NA 9 54.5 0 95 8.64 94 0.1 NA NA 2.6 2.6 0.000 11.9
The former Yugoslav republic of Macedonia 2003 Developing 73.2 126 0 2.40 0.000000e+00 NA 18 54.1 0 96 9.17 96 0.1 NA NA 2.7 2.7 0.000 11.9
The former Yugoslav republic of Macedonia 2002 Developing 72.8 128 0 2.53 0.000000e+00 NA 19 53.6 0 97 9.10 96 0.1 NA NA 2.7 2.7 0.000 11.9
The former Yugoslav republic of Macedonia 2001 Developing 73.1 126 0 3.27 0.000000e+00 NA 27 53.2 0 91 8.18 91 0.1 NA NA 2.8 2.8 0.000 11.8
The former Yugoslav republic of Macedonia 2000 Developing 72.6 125 0 2.86 0.000000e+00 NA 36 52.7 0 96 8.52 95 0.1 NA NA 2.8 2.8 0.000 11.7
Timor-Leste 2015 Developing 68.3 152 2 NA 0.000000e+00 76 43 17.4 2 75 NA 76 0.1 1.161769e+03 1.249770e+05 1.9 11.1 0.603 12.5
Timor-Leste 2014 Developing 68.0 155 2 0.01 2.814579e+01 77 47 17.0 2 76 1.48 77 0.1 1.153516e+03 1.212814e+06 1.9 11.1 0.612 12.5
Timor-Leste 2013 Developing 67.7 158 2 0.01 3.379875e+00 82 4 16.6 2 82 1.29 82 0.1 1.177657e+02 1.184366e+06 11.1 11.2 0.620 12.5
Timor-Leste 2012 Developing 67.4 159 2 0.01 3.017999e+01 83 16 16.2 2 83 1.10 83 0.1 1.117777e+03 1.156760e+05 11.2 11.3 0.618 12.5
Timor-Leste 2011 Developing 67.2 161 2 0.50 2.726571e+00 67 763 15.8 3 66 0.76 67 0.1 1.145618e+02 1.131523e+06 11.3 11.4 0.607 12.5
Timor-Leste 2010 Developing 66.9 163 2 0.10 3.858377e+01 72 50 15.5 3 72 0.92 72 0.1 8.498627e+02 1.195910e+05 11.5 11.5 0.599 12.4
Timor-Leste 2009 Developing 66.6 165 2 0.09 3.619949e+01 72 10 15.1 3 78 1.20 72 0.1 7.573114e+02 1.922100e+04 11.6 11.6 0.599 12.1
Timor-Leste 2008 Developing 66.2 168 2 0.06 3.669199e+01 79 0 14.7 3 79 0.74 79 0.1 6.437191e+02 1.781100e+04 11.7 11.7 0.566 11.7
Timor-Leste 2007 Developing 65.8 173 2 0.05 1.175767e+01 NA 0 14.2 3 7 0.37 7 0.1 5.248959e+02 1.649730e+05 11.8 11.8 0.541 11.3
Timor-Leste 2006 Developing 64.9 186 2 0.04 2.812561e+01 NA 90 13.9 3 62 0.65 63 0.1 4.415323e+02 1.486210e+05 11.9 11.9 0.511 11.0
Timor-Leste 2005 Developing 63.7 26 3 0.36 7.127145e+00 NA 203 13.5 3 55 1.50 55 0.1 4.783319e+02 1.264840e+05 12.0 11.9 0.492 10.6
Timor-Leste 2004 Developing 62.3 229 3 0.38 8.415789e+00 NA 41 13.2 3 57 1.31 57 0.1 4.675438e+02 9.966980e+05 12.0 12.0 0.484 10.2
Timor-Leste 2003 Developing 61.0 25 3 0.44 4.639133e+01 NA 94 12.9 4 55 2.48 55 0.1 4.714566e+02 9.685200e+04 12.1 12.1 0.485 9.8
Timor-Leste 2002 Developing 62.0 261 3 0.48 5.649123e+00 NA 0 12.6 4 38 3.89 54 0.1 4.861552e+01 9.238250e+05 12.1 12.1 0.475 9.8
Timor-Leste 2001 Developing 59.4 269 3 0.50 6.556584e+00 NA 0 12.3 4 NA 3.75 NA 0.1 5.642499e+01 8.925310e+05 12.1 12.2 0.470 9.8
Timor-Leste 2000 Developing 58.7 276 3 0.50 4.906967e+01 NA 0 11.9 4 NA 3.26 NA 0.1 4.222863e+02 8.716700e+04 12.2 12.2 0.000 0.0
Togo 2015 Developing 59.9 287 13 NA 0.000000e+00 88 20 24.3 20 88 NA 88 1.0 5.511383e+02 7.416820e+05 6.5 6.2 0.484 12.0
Togo 2014 Developing 59.7 285 13 0.01 4.877350e+00 87 577 23.7 20 85 5.25 87 1.0 6.213185e+01 7.228915e+06 6.6 6.4 0.475 12.0
Togo 2013 Developing 59.4 287 14 0.01 4.873047e+01 84 564 23.1 20 84 5.12 84 1.5 5.794348e+02 7.429480e+05 6.8 6.6 0.470 12.0
Togo 2012 Developing 58.9 294 14 0.01 4.160028e+01 84 238 22.6 21 84 5.11 84 1.7 5.636894e+02 6.859482e+06 7.0 6.8 0.464 12.0
Togo 2011 Developing 58.3 34 14 1.44 3.908259e+01 85 187 22.0 21 85 5.21 85 2.6 5.623394e+02 6.679282e+06 7.1 7.0 0.457 11.5
Togo 2010 Developing 57.4 323 14 1.21 4.196145e+01 83 120 21.4 21 83 5.37 83 3.8 4.879239e+02 6.529520e+05 7.3 7.2 0.449 11.0
Togo 2009 Developing 56.7 336 14 1.24 7.709551e+01 78 425 2.9 22 78 6.64 78 4.3 4.996469e+02 6.334720e+05 7.5 7.4 0.442 10.6
Togo 2008 Developing 56.2 344 14 1.33 6.935925e+01 24 187 2.4 22 8 5.73 81 4.8 5.133919e+02 6.161796e+06 7.7 7.6 0.441 10.1
Togo 2007 Developing 55.9 344 14 1.37 6.756829e-01 NA 8 19.8 22 72 5.55 82 5.1 4.276474e+01 5.997385e+06 7.9 7.8 0.443 10.6
Togo 2006 Developing 55.7 345 15 1.37 6.226049e+00 NA 26 19.3 22 85 5.56 84 5.0 3.773363e+02 5.837792e+06 8.1 8.0 0.436 10.2
Togo 2005 Developing 55.0 357 15 1.14 3.662174e+01 NA 38 18.9 22 8 5.17 82 5.0 3.721722e+02 5.683268e+06 8.4 8.3 0.435 10.1
Togo 2004 Developing 54.9 355 15 1.01 3.989928e+00 NA 61 18.4 22 71 5.60 71 5.1 3.499937e+02 5.534598e+06 8.6 8.5 0.432 10.0
Togo 2003 Developing 54.7 355 15 1.02 2.995960e+00 NA 295 17.9 22 72 5.00 72 5.2 3.143714e+01 5.391410e+05 8.8 8.7 0.428 9.9
Togo 2002 Developing 54.7 351 15 1.00 1.995183e+00 NA 363 17.5 22 58 4.70 59 5.3 2.883212e+01 5.251472e+06 9.0 8.9 0.428 9.7
Togo 2001 Developing 54.6 345 14 0.95 2.048575e+00 NA 1833 17.1 22 51 4.29 5 5.3 2.663947e+01 5.111770e+05 9.2 9.1 0.426 9.4
Togo 2000 Developing 54.6 339 14 1.10 2.029644e+00 NA 3578 16.6 22 63 4.35 64 5.1 2.639329e+01 4.973670e+05 9.4 9.3 0.425 9.3
Tonga 2015 Developing 73.5 133 0 NA 0.000000e+00 78 0 75.2 0 8 NA 78 0.1 4.937754e+02 1.636400e+04 0.1 0.1 0.718 14.3
Tonga 2014 Developing 73.3 135 0 0.01 5.659672e+02 8 0 74.8 0 82 5.18 8 0.1 4.192350e+03 1.578200e+04 0.1 0.1 0.716 14.3
Tonga 2013 Developing 73.2 137 0 0.01 5.849450e+02 82 0 74.3 0 84 4.98 82 0.1 4.266557e+03 1.532800e+04 0.1 0.1 0.718 14.3
Tonga 2012 Developing 73.0 138 0 0.01 6.380295e+01 77 0 73.8 0 79 4.51 77 0.1 4.515425e+02 1.495100e+04 0.1 0.1 0.717 14.4
Tonga 2011 Developing 72.9 14 0 0.96 7.033981e+00 82 0 73.3 0 84 4.60 82 0.1 4.451887e+02 1.457700e+04 0.1 0.1 0.712 14.4
Tonga 2010 Developing 72.8 142 0 1.24 4.718308e+02 82 0 72.7 0 84 4.59 82 0.1 3.547600e+03 1.413700e+04 0.1 0.1 0.707 14.4
Tonga 2009 Developing 72.5 147 0 1.08 4.783806e+00 84 0 72.1 0 86 4.67 84 0.1 3.784656e+01 1.364000e+03 0.1 0.1 0.703 14.5
Tonga 2008 Developing 72.6 145 0 1.10 5.696255e+02 84 0 71.5 0 88 5.13 86 0.1 3.392647e+03 1.350000e+02 0.1 0.1 0.698 14.5
Tonga 2007 Developing 72.5 146 0 2.05 5.688693e+02 87 0 7.8 0 88 5.82 87 0.1 2.932316e+03 1.235700e+04 0.1 0.1 0.698 14.5
Tonga 2006 Developing 72.4 148 0 1.79 5.035882e+02 89 0 7.1 0 89 5.61 88 0.1 2.892523e+03 1.168900e+04 0.1 0.1 0.695 14.6
Tonga 2005 Developing 72.3 15 0 1.57 6.899440e+02 89 0 69.4 0 9 6.52 89 0.1 2.594750e+03 1.141000e+03 0.1 0.1 0.694 14.6
Tonga 2004 Developing 72.2 151 0 1.80 4.232954e+02 9 0 68.6 0 91 4.87 9 0.1 2.284379e+03 1.460000e+02 0.1 0.1 0.693 14.6
Tonga 2003 Developing 72.0 153 0 1.79 4.585106e+01 85 0 67.8 0 91 5.90 9 0.1 2.297147e+02 9.978900e+04 0.1 0.1 0.683 13.7
Tonga 2002 Developing 71.9 155 0 1.51 3.108203e+02 88 0 67.0 0 85 5.30 84 0.1 1.842444e+03 9.918400e+04 0.1 0.1 0.679 13.5
Tonga 2001 Developing 71.8 157 0 1.35 3.301007e+02 91 4 66.2 0 91 5.66 89 0.1 1.837977e+03 9.861100e+04 0.1 0.1 0.674 13.2
Tonga 2000 Developing 71.6 158 0 1.24 4.049129e+01 93 0 65.5 0 91 4.75 91 0.1 2.632724e+02 9.882000e+03 0.1 0.1 0.676 13.7
Trinidad and Tobago 2015 Developing 71.2 17 0 NA 0.000000e+00 9 0 47.1 0 88 NA 96 0.3 1.732183e+04 1.369200e+04 5.7 5.9 0.779 12.7
Trinidad and Tobago 2014 Developing 71.1 171 0 6.94 1.578872e+03 92 0 46.0 0 94 5.93 92 0.3 1.932524e+04 1.354493e+06 5.8 6.0 0.778 12.7
Trinidad and Tobago 2013 Developing 71.0 172 0 6.71 1.672658e+02 92 0 45.0 0 94 5.98 92 0.3 1.967833e+03 1.348248e+06 5.8 6.0 0.773 12.7
Trinidad and Tobago 2012 Developing 78.0 174 0 6.70 1.486236e+03 92 0 44.0 0 91 5.78 92 0.4 1.915253e+04 1.341588e+06 5.9 6.1 0.772 12.6
Trinidad and Tobago 2011 Developing 76.0 176 0 6.50 1.449851e+02 9 0 43.0 0 91 5.60 9 0.4 1.953977e+03 1.334788e+06 5.9 6.2 0.774 12.6
Trinidad and Tobago 2010 Developing 74.0 179 0 6.50 1.389773e+03 9 0 42.0 0 91 5.29 9 0.4 1.668395e+04 1.328100e+04 5.9 6.3 0.772 12.5
Trinidad and Tobago 2009 Developing 71.0 183 0 6.37 1.280896e+02 9 0 41.1 0 9 6.47 9 0.2 1.458880e+03 1.321618e+06 6.0 6.4 0.773 12.5
Trinidad and Tobago 2008 Developing 69.9 185 0 6.41 1.902693e+03 9 0 4.2 0 91 4.40 9 0.3 2.118812e+04 1.315372e+06 6.1 6.4 0.767 12.4
Trinidad and Tobago 2007 Developing 69.7 187 0 6.37 1.368837e+02 89 0 39.3 0 9 4.82 88 0.7 1.653184e+03 1.392600e+04 6.1 6.5 0.760 12.4
Trinidad and Tobago 2006 Developing 69.6 188 0 6.35 1.033711e+02 89 0 38.4 0 89 4.49 92 0.6 1.495963e+03 1.331440e+05 6.2 6.6 0.751 12.3
Trinidad and Tobago 2005 Developing 69.5 189 0 6.12 1.187949e+03 95 0 37.6 0 95 5.31 95 0.5 1.232313e+04 1.296934e+06 6.3 6.7 0.745 12.3
Trinidad and Tobago 2004 Developing 69.4 19 0 5.82 1.185100e+01 94 0 36.8 0 94 5.22 94 1.0 1.295191e+02 1.295350e+05 6.3 6.8 0.736 12.2
Trinidad and Tobago 2003 Developing 69.3 191 0 5.53 7.872216e+01 76 0 36.0 1 91 5.13 91 0.5 8.845187e+02 1.284520e+05 6.4 6.9 0.729 12.0
Trinidad and Tobago 2002 Developing 69.2 192 0 5.12 7.203912e+01 5 0 35.2 1 96 5.00 96 2.0 7.496266e+02 1.277837e+06 6.5 7.0 0.721 11.9
Trinidad and Tobago 2001 Developing 69.1 194 0 4.55 5.167112e+02 NA 0 34.4 1 91 4.40 91 1.2 6.935721e+03 1.272380e+05 6.6 7.1 0.715 11.8
Trinidad and Tobago 2000 Developing 69.1 197 0 4.68 4.359523e+01 NA 0 33.6 1 9 4.17 9 0.9 6.439473e+02 1.267984e+06 6.7 7.2 0.709 11.7
Tunisia 2015 Developing 75.3 1 3 NA 0.000000e+00 98 16 61.2 3 98 NA 98 0.1 3.828916e+03 1.127366e+07 6.5 6.4 0.723 14.6
Tunisia 2014 Developing 75.1 12 3 1.39 6.048701e+02 98 15 6.2 3 98 7.00 98 0.1 4.271682e+03 1.114398e+06 6.5 6.4 0.722 14.7
Tunisia 2013 Developing 74.9 13 3 1.29 5.946453e+02 98 16 59.3 3 98 7.26 98 0.1 4.199473e+03 1.114558e+06 6.4 6.3 0.720 14.7
Tunisia 2012 Developing 74.9 13 3 1.30 5.858777e+02 97 48 58.3 3 97 7.18 97 0.1 4.137554e+03 1.886668e+06 6.4 6.3 0.717 14.6
Tunisia 2011 Developing 74.8 13 3 1.29 6.232120e+02 98 11 57.4 3 98 7.15 98 0.1 4.256913e+03 1.761467e+06 6.4 6.3 0.714 14.5
Tunisia 2010 Developing 74.8 12 3 1.28 6.485617e+01 98 1 56.5 3 98 6.54 98 0.1 4.141518e+02 1.639931e+06 6.3 6.3 0.710 14.4
Tunisia 2009 Developing 74.7 12 3 1.40 5.856308e+02 99 1 55.6 3 99 6.18 99 0.1 4.129977e+03 1.521834e+06 6.3 6.3 0.706 14.4
Tunisia 2008 Developing 74.7 12 3 1.37 5.308452e+01 99 2 54.7 3 99 5.63 99 0.1 4.319326e+02 1.473360e+05 6.3 6.3 0.701 14.3
Tunisia 2007 Developing 74.6 12 3 1.24 4.696283e+02 98 4 53.9 4 98 5.64 98 0.1 3.778184e+03 1.298870e+05 6.3 6.3 0.695 14.3
Tunisia 2006 Developing 74.4 12 3 1.46 4.201154e+02 99 3 53.1 4 99 5.64 99 0.1 3.371712e+03 1.196136e+06 6.3 6.3 0.689 14.2
Tunisia 2005 Developing 74.2 14 3 1.37 3.795140e+02 97 15 52.2 4 98 5.57 98 0.1 3.194562e+03 1.124820e+05 6.4 6.3 0.683 13.9
Tunisia 2004 Developing 74.0 15 3 1.36 3.797659e+02 96 1 51.4 4 97 5.63 97 0.1 3.112835e+03 1.176100e+04 6.4 6.3 0.673 13.6
Tunisia 2003 Developing 73.7 17 4 1.34 3.217694e+02 92 22 5.6 4 95 5.36 95 0.1 2.761969e+03 9.939678e+06 6.4 6.3 0.667 13.5
Tunisia 2002 Developing 73.5 19 4 1.17 2.628185e+02 93 98 49.7 5 96 5.32 96 0.1 2.346594e+03 9.864326e+06 6.5 6.4 0.662 13.3
Tunisia 2001 Developing 73.2 11 4 1.19 2.572879e+02 94 231 48.9 5 98 5.29 98 0.1 2.254933e+03 9.785710e+05 6.5 6.4 0.654 13.1
Tunisia 2000 Developing 72.9 112 4 1.21 2.647842e+02 94 47 48.1 5 97 5.40 97 0.1 2.213915e+03 9.699197e+06 6.6 6.5 0.646 12.8
Turkey 2015 Developing 75.8 16 15 NA 0.000000e+00 97 342 66.1 18 97 NA 97 0.1 1.979526e+03 7.827147e+07 4.9 4.8 0.764 14.5
Turkey 2014 Developing 75.5 17 16 1.45 1.819084e+02 96 565 65.3 19 96 5.41 96 0.1 1.212723e+04 7.736280e+05 4.9 4.7 0.759 14.5
Turkey 2013 Developing 75.2 19 17 1.41 1.881440e+02 97 7405 64.5 20 98 5.38 98 0.1 1.254294e+04 7.578733e+07 4.9 4.7 0.754 14.4
Turkey 2012 Developing 74.8 112 19 1.54 2.075120e+01 97 349 63.7 22 97 5.24 97 0.1 1.172384e+03 7.456987e+07 4.9 4.7 0.750 14.3
Turkey 2011 Developing 74.5 114 20 1.53 1.275878e+03 96 111 62.8 23 97 5.29 97 0.1 1.134113e+04 7.349455e+06 4.9 4.7 0.737 13.8
Turkey 2010 Developing 74.2 116 21 1.49 3.278236e+01 96 7 61.9 25 97 5.61 97 0.1 1.672569e+03 7.232691e+07 4.9 4.7 0.715 13.0
Turkey 2009 Developing 73.9 118 23 1.40 1.069483e+02 94 4 61.1 27 96 6.80 96 0.1 9.364999e+02 7.133919e+07 4.9 4.8 0.709 12.5
Turkey 2008 Developing 73.5 121 25 1.39 2.267272e+01 92 0 6.2 29 96 6.70 96 0.1 1.856898e+02 7.443200e+04 5.0 4.8 0.705 12.5
Turkey 2007 Developing 73.2 124 26 1.26 1.155801e+02 96 3 59.3 31 96 6.40 96 0.1 9.794925e+02 6.959728e+07 5.0 4.8 0.697 12.3
Turkey 2006 Developing 72.8 126 28 1.29 1.035238e+02 82 34 58.5 34 9 5.81 9 0.1 8.348692e+02 6.876345e+06 5.0 4.8 0.687 11.9
Turkey 2005 Developing 72.4 129 30 1.29 8.329552e+02 85 6200 57.6 36 9 5.45 9 0.1 7.384355e+03 6.793460e+05 5.0 4.9 0.681 11.9
Turkey 2004 Developing 72.0 132 33 1.35 1.132767e+00 77 8927 56.8 39 85 5.37 85 0.1 6.472953e+01 6.778550e+05 5.1 4.9 0.675 12.0
Turkey 2003 Developing 71.6 135 35 1.42 4.591113e+02 68 5844 55.9 43 69 5.34 68 0.1 4.718513e+03 6.685830e+05 5.1 5.0 0.668 11.9
Turkey 2002 Developing 71.2 138 38 1.47 3.555729e+01 72 7823 55.1 46 78 5.36 78 0.1 3.665700e+02 6.514354e+06 5.2 5.0 0.658 11.5
Turkey 2001 Developing 78.0 14 41 1.49 2.564342e+02 77 30509 54.3 50 88 5.16 88 0.1 3.119637e+03 6.419147e+07 5.2 5.1 0.653 11.1
Turkey 2000 Developing 74.0 143 44 1.54 4.212957e+02 71 16244 53.5 54 85 4.95 85 0.1 4.316554e+03 6.324121e+06 5.3 5.2 0.641 10.7
Turkmenistan 2015 Developing 66.3 215 6 NA 0.000000e+00 99 0 48.6 7 99 NA 99 0.1 6.432669e+03 5.565284e+06 3.3 3.3 0.688 10.8
Turkmenistan 2014 Developing 66.0 217 7 2.90 6.911334e+02 97 0 47.7 8 98 2.70 98 0.1 7.962366e+03 5.466241e+06 3.3 3.3 0.683 10.8
Turkmenistan 2013 Developing 65.4 228 7 2.93 6.374811e+01 98 0 46.7 8 98 2.12 98 0.1 7.344253e+02 5.366277e+06 3.2 3.3 0.678 10.7
Turkmenistan 2012 Developing 65.6 22 7 2.75 5.794128e+02 98 0 45.9 8 98 1.96 97 0.1 6.675263e+03 5.267839e+06 3.2 3.3 0.672 10.7
Turkmenistan 2011 Developing 65.6 217 7 2.55 4.904181e+02 97 0 45.0 8 97 1.98 97 0.1 5.649978e+03 5.174610e+05 3.2 3.3 0.665 10.6
Turkmenistan 2010 Developing 65.8 211 7 2.48 3.853252e+02 96 0 44.2 8 96 1.99 96 0.1 4.439230e+03 5.872100e+04 3.2 3.3 0.000 10.6
Turkmenistan 2009 Developing 65.6 215 6 2.35 3.788466e+01 97 0 43.4 8 97 1.88 96 0.1 4.364592e+02 5.795000e+03 3.2 3.3 0.000 10.5
Turkmenistan 2008 Developing 64.5 235 6 2.40 3.423979e+01 96 0 42.7 8 96 1.93 96 0.1 3.944677e+02 4.935762e+06 3.2 3.3 0.000 10.5
Turkmenistan 2007 Developing 64.1 241 6 2.58 3.586514e-01 98 59 42.0 8 98 2.16 98 0.1 2.637143e+01 4.871370e+05 3.3 3.3 0.000 10.4
Turkmenistan 2006 Developing 63.7 245 6 2.71 2.927235e+01 98 48 41.3 8 98 2.90 98 0.1 2.136668e+03 4.811500e+04 3.3 3.3 0.000 10.4
Turkmenistan 2005 Developing 63.3 248 6 2.85 2.198886e+00 99 0 4.7 8 99 3.51 99 0.1 1.745147e+02 4.754641e+06 3.4 3.4 0.000 10.3
Turkmenistan 2004 Developing 63.5 238 6 2.86 1.861014e+02 96 1 4.0 8 98 4.30 97 0.1 1.453917e+03 4.733980e+05 3.4 3.4 0.000 10.3
Turkmenistan 2003 Developing 63.4 231 7 2.88 1.796156e+02 97 1 39.4 8 66 3.85 83 0.1 1.283886e+03 4.655741e+06 3.5 3.4 0.000 10.3
Turkmenistan 2002 Developing 63.3 229 7 2.33 1.303785e+02 96 11 38.7 8 99 3.34 98 0.1 9.679175e+02 4.612000e+03 3.5 3.5 0.000 10.2
Turkmenistan 2001 Developing 64.0 221 7 2.35 1.061807e+02 NA 9 38.1 9 94 3.87 95 0.1 7.744763e+02 4.564800e+04 3.6 3.5 0.000 10.2
Turkmenistan 2000 Developing 63.8 224 7 2.90 8.824363e+01 NA 113 37.5 9 98 3.94 97 0.1 6.431752e+02 4.516131e+06 3.6 3.6 0.000 0.0
Tuvalu 2013 Developing NA NA 0 0.01 7.828120e+01 9 0 79.3 0 9 16.61 9 0.1 3.542136e+03 1.819000e+03 0.2 0.1 NA 0.0
Uganda 2015 Developing 62.3 291 66 NA 0.000000e+00 78 478 18.5 93 82 NA 78 3.1 6.938964e+02 4.144870e+05 5.6 5.6 0.488 10.0
Uganda 2014 Developing 61.5 38 68 0.01 1.416770e+01 78 314 18.1 97 82 7.22 78 3.2 7.191727e+02 3.883334e+07 5.7 5.6 0.483 10.0
Uganda 2013 Developing 67.0 325 71 0.01 9.076144e+01 78 7878 17.6 103 82 7.47 78 4.0 6.624923e+02 3.755373e+07 5.7 5.7 0.478 10.0
Uganda 2012 Developing 60.0 339 73 0.01 9.288698e+01 78 2027 17.2 109 82 7.58 78 4.6 6.477474e+02 3.636796e+06 5.8 5.8 0.477 10.0
Uganda 2011 Developing 59.3 347 76 10.22 9.449687e+01 82 3312 16.7 114 82 9.90 82 6.8 5.843962e+02 3.593648e+06 5.9 5.9 0.477 10.7
Uganda 2010 Developing 58.4 362 79 10.03 1.162030e+02 8 1313 16.3 119 79 11.20 8 8.0 5.949973e+02 3.391513e+07 6.0 6.0 0.473 10.9
Uganda 2009 Developing 57.5 378 82 9.63 8.704535e+01 79 1601 15.9 124 78 8.43 79 8.1 6.471773e+02 3.277190e+07 6.1 6.1 0.464 10.8
Uganda 2008 Developing 56.3 41 84 9.79 7.285024e+01 71 1319 15.6 130 69 9.10 71 8.2 4.496928e+02 3.166390e+07 6.2 6.2 0.453 10.6
Uganda 2007 Developing 55.5 41 88 9.65 6.002528e+00 73 3776 15.2 137 7 9.76 73 8.4 4.185863e+01 3.594870e+05 6.3 6.3 0.442 10.3
Uganda 2006 Developing 54.9 41 93 9.81 5.083901e+01 64 5736 14.8 145 62 9.86 64 8.6 3.364594e+02 2.955662e+06 6.4 6.4 0.434 10.6
Uganda 2005 Developing 53.2 446 99 10.09 4.452614e+01 64 22 14.5 155 59 9.36 64 8.7 3.157882e+02 2.854394e+06 6.5 6.5 0.429 10.9
Uganda 2004 Developing 51.3 485 104 9.89 3.660609e+01 62 141 14.2 164 58 8.90 62 8.9 2.882369e+02 2.756844e+07 6.6 6.6 0.427 11.6
Uganda 2003 Developing 51.0 53 109 10.16 4.426792e+00 44 29429 13.9 173 57 7.54 59 9.4 2.379996e+02 2.662482e+06 6.7 6.7 0.418 11.5
Uganda 2002 Developing 48.8 523 112 10.42 2.690898e+00 29 49871 13.6 181 57 7.78 57 10.0 2.424232e+01 2.571848e+06 6.8 6.8 0.404 11.0
Uganda 2001 Developing 47.7 539 115 10.57 2.697625e+01 NA 48543 13.3 187 56 7.26 55 10.8 2.349848e+02 2.485489e+07 6.9 6.9 0.396 10.8
Uganda 2000 Developing 46.6 554 116 10.47 2.259447e+01 NA 42554 13.0 191 55 6.77 52 11.6 2.576337e+02 2.439274e+06 7.0 7.0 0.382 9.8
Ukraine 2015 Developing 71.3 195 4 NA 0.000000e+00 22 105 61.3 5 51 NA 23 0.2 2.124663e+03 4.515429e+06 2.3 2.4 0.748 15.3
Ukraine 2014 Developing 78.0 23 4 8.06 5.663849e+00 22 0 6.7 5 45 7.10 23 0.2 3.146583e+02 4.527195e+07 2.3 2.4 0.746 15.2
Ukraine 2013 Developing 71.0 198 4 8.44 5.242530e+01 46 0 6.1 5 72 7.67 76 0.2 4.297155e+02 4.548960e+05 2.3 2.4 0.744 15.2
Ukraine 2012 Developing 77.0 25 5 8.44 4.537831e+02 46 12746 59.6 5 72 7.47 76 0.2 3.855421e+03 4.559330e+05 2.4 2.4 0.739 15.1
Ukraine 2011 Developing 75.0 24 5 8.48 4.151628e+02 21 1333 59.0 5 54 6.98 5 0.2 3.569757e+03 4.576100e+04 2.4 2.5 0.734 14.9
Ukraine 2010 Developing 69.8 212 5 8.39 3.756835e+02 48 39 58.5 6 57 7.81 52 0.2 2.965142e+03 4.587700e+04 2.4 2.5 0.728 14.9
Ukraine 2009 Developing 69.2 231 5 8.71 3.245491e+02 66 0 58.0 6 74 7.80 71 0.3 2.545483e+03 4.653300e+04 2.5 2.6 0.734 14.9
Ukraine 2008 Developing 67.7 273 5 9.46 4.564587e+02 84 48 57.6 6 91 6.63 9 0.4 3.891378e+03 4.625820e+05 2.5 2.6 0.730 14.9
Ukraine 2007 Developing 67.5 277 5 8.86 4.619685e+01 92 1005 57.2 6 98 6.36 98 0.7 3.686900e+02 4.659350e+05 2.5 2.7 0.723 14.8
Ukraine 2006 Developing 67.7 267 5 7.99 2.938173e+01 96 42724 56.8 6 99 6.39 98 0.8 2.331883e+02 4.678775e+06 2.6 2.7 0.716 14.7
Ukraine 2005 Developing 67.0 278 5 7.31 2.174345e+02 97 2392 56.4 6 95 6.41 96 0.9 1.828718e+03 4.715150e+05 2.7 2.8 0.707 14.5
Ukraine 2004 Developing 67.4 267 5 6.79 1.803538e+02 98 146 56.1 6 99 6.61 99 1.0 1.367352e+03 4.745160e+05 2.7 2.8 0.700 14.6
Ukraine 2003 Developing 67.6 256 6 5.92 2.122386e+01 77 411 55.7 6 99 6.93 97 0.9 1.485225e+02 4.781295e+06 2.8 2.9 0.691 14.3
Ukraine 2002 Developing 67.6 256 6 4.89 1.157390e+02 48 7587 55.4 7 99 6.25 99 0.9 8.794755e+02 4.822500e+04 2.9 3.0 0.683 13.9
Ukraine 2001 Developing 67.7 253 6 4.31 8.897422e+00 7 16970 55.1 7 99 5.66 99 0.8 7.873824e+01 4.868387e+07 2.9 3.0 0.673 13.2
Ukraine 2000 Developing 67.5 257 6 4.49 7.883792e+00 4 817 54.8 8 99 5.59 99 0.7 6.357896e+02 4.917585e+07 3.0 3.1 0.669 13.3
United Arab Emirates 2015 Developing 77.1 75 1 NA 0.000000e+00 99 347 64.2 1 99 NA 99 0.1 3.911747e+03 NA 5.3 5.1 0.836 13.3
United Arab Emirates 2014 Developing 76.9 77 1 1.91 3.862683e+03 99 344 62.4 1 99 3.64 99 0.1 4.444974e+04 NA 5.2 5.0 0.832 13.3
United Arab Emirates 2013 Developing 76.7 78 1 1.82 3.772009e+02 98 0 6.5 1 98 3.49 98 0.1 4.335643e+03 NA 5.2 5.0 0.829 13.3
United Arab Emirates 2012 Developing 76.5 8 1 1.75 3.663765e+03 96 132 58.6 1 96 3.45 96 0.1 4.211224e+04 NA 5.1 5.0 0.826 13.3
United Arab Emirates 2011 Developing 76.3 81 1 1.73 3.877750e+02 95 0 57.1 1 95 3.70 95 0.1 4.462313e+03 NA 5.1 4.9 0.824 13.3
United Arab Emirates 2010 Developing 76.2 82 1 1.69 3.080661e+02 94 87 55.8 1 94 3.93 94 0.1 3.549148e+03 NA 5.1 4.9 0.826 13.3
United Arab Emirates 2009 Developing 76.0 84 1 1.73 2.924023e+02 93 0 55.1 1 94 4.50 93 0.1 3.372575e+03 NA 5.1 4.9 0.831 13.2
United Arab Emirates 2008 Developing 75.8 85 1 1.86 4.003909e+03 92 55 54.8 1 94 2.93 92 0.1 4.575896e+04 NA 5.1 4.9 0.829 13.1
United Arab Emirates 2007 Developing 75.6 87 1 1.69 3.759457e+03 92 0 55.1 1 94 2.57 92 0.1 4.267261e+04 NA 5.1 4.9 0.826 12.9
United Arab Emirates 2006 Developing 75.4 89 1 1.74 3.749942e+03 92 0 55.8 1 94 2.33 92 0.1 4.237222e+04 NA 5.1 4.9 0.823 12.8
United Arab Emirates 2005 Developing 75.3 92 1 1.79 3.427320e+03 92 29 56.6 1 94 2.32 94 0.1 3.943982e+04 NA 5.1 4.9 0.818 12.6
United Arab Emirates 2004 Developing 75.1 95 1 1.77 2.972449e+03 92 22 57.0 1 94 2.46 94 0.1 3.616118e+04 NA 5.2 4.9 0.813 12.4
United Arab Emirates 2003 Developing 74.9 98 1 1.74 2.771818e+02 92 42 56.8 1 94 2.65 94 0.1 3.323523e+03 NA 5.2 5.0 0.808 12.3
United Arab Emirates 2002 Developing 74.7 11 1 1.72 2.598843e+03 92 53 56.0 1 94 2.72 94 0.1 3.131136e+04 NA 5.3 5.0 0.803 12.1
United Arab Emirates 2001 Developing 74.5 14 1 1.67 2.437539e+02 92 30 55.0 1 94 2.48 94 0.1 3.161529e+03 NA 5.3 5.1 0.798 12.0
United Arab Emirates 2000 Developing 74.2 17 1 1.64 2.629590e+02 92 69 54.1 1 94 2.38 94 0.1 3.371269e+03 NA 5.4 5.1 0.791 11.8
United Kingdom of Great Britain and Northern Ireland 2015 Developed 81.2 69 3 10.66 0.000000e+00 NA 91 66.6 4 96 NA 96 0.1 NA NA 0.8 0.6 NA NA
United Kingdom of Great Britain and Northern Ireland 2014 Developed 81.0 71 3 10.37 0.000000e+00 NA 133 66.0 4 95 9.12 95 0.1 NA NA 0.8 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2013 Developed 87.0 72 3 10.32 0.000000e+00 NA 1919 65.4 4 95 9.34 95 0.1 NA NA 0.8 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2012 Developed 86.0 72 3 10.42 0.000000e+00 NA 2092 64.8 4 95 9.41 95 0.1 NA NA 0.8 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2011 Developed 86.0 74 3 10.68 0.000000e+00 NA 1112 64.2 4 95 9.34 95 0.1 NA NA 0.8 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2010 Developed 82.0 77 3 10.88 0.000000e+00 NA 443 63.6 4 94 9.51 94 0.1 NA NA 0.8 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2009 Developed 81.0 78 4 10.79 0.000000e+00 NA 1212 63.1 4 93 9.81 93 0.1 NA NA 0.8 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2008 Developed 79.6 8 4 11.47 0.000000e+00 NA 1445 62.5 4 92 8.85 92 0.1 NA NA 0.8 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2007 Developed 79.5 8 4 11.84 0.000000e+00 NA 1022 61.9 4 92 8.42 92 0.1 NA NA 0.7 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2006 Developed 79.3 82 4 11.61 0.000000e+00 NA 764 61.3 4 92 8.36 92 0.1 NA NA 0.7 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2005 Developed 79.0 82 4 12.05 0.000000e+00 NA 79 6.7 4 91 8.24 91 0.1 NA NA 0.7 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2004 Developed 78.8 83 4 12.22 0.000000e+00 NA 189 6.1 4 92 7.98 92 0.1 NA NA 0.7 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2003 Developed 78.3 86 4 11.85 0.000000e+00 NA 460 59.5 4 91 7.81 91 0.1 NA NA 0.7 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2002 Developed 78.2 87 4 11.44 0.000000e+00 NA 314 58.8 4 91 7.57 91 0.1 NA NA 0.7 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2001 Developed 78.0 88 4 10.91 0.000000e+00 NA 73 58.2 4 91 7.31 91 0.1 NA NA 0.7 0.5 NA NA
United Kingdom of Great Britain and Northern Ireland 2000 Developed 77.8 89 4 10.59 0.000000e+00 NA 104 57.5 5 91 6.94 91 0.1 NA NA 0.7 0.5 NA NA
United Republic of Tanzania 2015 Developing 61.8 279 85 NA 0.000000e+00 98 30 23.8 119 96 NA 98 1.4 NA NA 6.7 6.5 NA NA
United Republic of Tanzania 2014 Developing 67.0 34 86 0.01 0.000000e+00 97 88 23.2 121 97 5.58 97 1.4 NA NA 6.8 6.6 NA NA
United Republic of Tanzania 2013 Developing 59.7 323 86 4.20 0.000000e+00 91 185 22.5 124 91 5.57 91 2.1 NA NA 6.8 6.7 NA NA
United Republic of Tanzania 2012 Developing 58.6 348 87 3.98 0.000000e+00 92 1668 21.9 126 9 5.72 92 2.4 NA NA 6.9 6.8 NA NA
United Republic of Tanzania 2011 Developing 58.3 348 88 4.04 0.000000e+00 9 1622 21.3 128 88 5.72 9 3.1 NA NA 7.0 6.9 NA NA
United Republic of Tanzania 2010 Developing 57.5 36 89 4.19 0.000000e+00 91 167 2.7 131 94 5.30 91 4.6 NA NA 7.1 7.1 NA NA
United Republic of Tanzania 2009 Developing 56.9 368 91 3.97 0.000000e+00 85 1574 2.2 135 88 3.97 85 6.4 NA NA 7.2 7.2 NA NA
United Republic of Tanzania 2008 Developing 56.2 376 92 3.44 0.000000e+00 86 3413 19.6 138 89 4.21 86 7.4 NA NA 7.3 7.3 NA NA
United Republic of Tanzania 2007 Developing 54.5 411 94 4.40 0.000000e+00 83 7726 19.1 141 88 4.72 83 8.5 NA NA 7.5 7.4 NA NA
United Republic of Tanzania 2006 Developing 53.1 437 96 4.07 0.000000e+00 9 2362 18.6 145 91 6.86 9 9.4 NA NA 7.6 7.5 NA NA
United Republic of Tanzania 2005 Developing 52.2 449 97 3.94 0.000000e+00 9 23 18.1 149 91 4.66 9 10.0 NA NA 7.7 7.6 NA NA
United Republic of Tanzania 2004 Developing 51.5 454 100 3.81 0.000000e+00 95 1419 17.7 154 95 4.10 95 10.8 NA NA 7.8 7.8 NA NA
United Republic of Tanzania 2003 Developing 58.0 459 103 2.34 0.000000e+00 95 1673 17.2 160 97 4.60 95 11.5 NA NA 7.9 7.9 NA NA
United Republic of Tanzania 2002 Developing 52.0 46 106 3.37 0.000000e+00 89 5131 16.8 166 91 3.59 89 12.1 NA NA 8.0 8.0 NA NA
United Republic of Tanzania 2001 Developing 49.6 46 110 4.09 0.000000e+00 NA 11847 16.4 173 65 3.28 87 12.5 NA NA 8.2 8.1 NA NA
United Republic of Tanzania 2000 Developing 49.2 457 114 3.89 0.000000e+00 NA 14649 16.0 181 64 2.64 79 12.8 NA NA 8.3 8.3 NA NA
United States of America 2015 Developed 79.3 13 23 NA 0.000000e+00 92 188 69.6 26 93 NA 95 0.1 NA NA 0.8 0.6 NA NA
United States of America 2014 Developed 79.1 14 23 8.82 0.000000e+00 92 667 69.1 27 93 17.14 95 0.1 NA NA 0.8 0.6 NA NA
United States of America 2013 Developed 78.9 16 23 8.82 0.000000e+00 91 187 68.6 27 93 16.90 94 0.1 NA NA 0.7 0.6 NA NA
United States of America 2012 Developed 78.8 16 24 8.82 0.000000e+00 9 55 68.0 28 93 17.20 94 0.1 NA NA 0.7 0.6 NA NA
United States of America 2011 Developed 78.7 16 25 8.67 0.000000e+00 91 220 67.5 29 94 17.60 96 0.1 NA NA 0.7 0.6 NA NA
United States of America 2010 Developed 78.7 15 25 8.55 0.000000e+00 92 63 66.9 30 93 17.20 95 0.1 NA NA 0.7 0.6 NA NA
United States of America 2009 Developed 78.5 18 26 8.71 0.000000e+00 92 71 66.3 31 93 17.00 95 0.1 NA NA 0.7 0.6 NA NA
United States of America 2008 Developed 78.2 18 27 8.74 0.000000e+00 94 140 65.7 31 94 16.20 96 0.1 NA NA 0.7 0.6 NA NA
United States of America 2007 Developed 78.1 11 27 8.74 0.000000e+00 93 43 65.1 32 93 15.57 96 0.1 NA NA 0.7 0.6 NA NA
United States of America 2006 Developed 77.8 113 28 8.63 0.000000e+00 93 55 64.4 33 93 15.27 96 0.1 NA NA 0.7 0.6 NA NA
United States of America 2005 Developed 77.5 112 28 8.52 0.000000e+00 93 66 63.8 33 92 15.15 96 0.1 NA NA 0.7 0.6 NA NA
United States of America 2004 Developed 77.5 111 28 8.48 0.000000e+00 92 37 63.1 33 92 15.14 96 0.1 NA NA 0.7 0.6 NA NA
United States of America 2003 Developed 77.2 114 28 8.40 0.000000e+00 92 56 62.4 33 91 15.60 96 0.1 NA NA 0.7 0.6 NA NA
United States of America 2002 Developed 77.0 115 28 8.33 0.000000e+00 88 41 61.7 33 9 14.55 94 0.1 NA NA 0.8 0.6 NA NA
United States of America 2001 Developed 76.9 115 28 8.25 0.000000e+00 89 116 6.9 33 89 13.73 94 0.1 NA NA 0.8 0.6 NA NA
United States of America 2000 Developed 76.8 114 28 8.21 0.000000e+00 9 85 6.1 33 9 13.70 94 0.1 NA NA 0.8 0.7 NA NA
Uruguay 2015 Developing 77.0 116 0 NA 0.000000e+00 95 0 64.0 0 95 NA 95 0.1 1.552484e+04 3.431552e+06 1.5 1.4 0.794 15.5
Uruguay 2014 Developing 76.8 117 0 6.03 4.636398e+02 95 0 63.4 0 95 8.58 95 0.1 1.673790e+04 3.419546e+06 1.5 1.4 0.791 15.5
Uruguay 2013 Developing 76.8 117 0 5.82 4.828039e+02 94 0 62.9 0 94 8.68 94 0.1 1.688126e+04 3.485000e+03 1.5 1.4 0.788 15.5
Uruguay 2012 Developing 76.5 118 0 5.77 3.397190e+02 95 0 62.3 0 95 8.74 95 0.1 1.592682e+03 3.396777e+06 1.5 1.5 0.784 15.5
Uruguay 2011 Developing 77.0 111 0 5.97 4.179117e+02 95 0 61.8 1 95 8.55 95 0.1 1.416650e+04 3.385624e+06 1.5 1.5 0.780 15.5
Uruguay 2010 Developing 76.3 118 0 6.21 2.331533e+03 95 0 61.2 1 95 8.63 95 0.1 1.193821e+04 3.374415e+06 1.5 1.5 0.777 15.6
Uruguay 2009 Developing 76.6 118 0 6.67 1.871737e+03 95 0 6.7 1 95 8.78 95 0.1 9.415174e+03 3.362755e+06 1.5 1.5 0.774 15.5
Uruguay 2008 Developing 76.4 119 1 6.76 2.473142e+01 94 0 6.1 1 94 8.17 94 0.1 9.623122e+02 3.358240e+05 1.6 1.5 0.770 15.7
Uruguay 2007 Developing 75.4 124 1 6.67 1.447306e+01 94 0 59.5 1 94 8.23 94 0.1 7.969746e+01 3.339741e+06 1.6 1.5 0.760 15.3
Uruguay 2006 Developing 76.2 117 1 6.58 1.712226e+03 95 0 58.9 1 95 11.17 95 0.1 5.877877e+03 3.331430e+05 1.6 1.6 0.756 15.2
Uruguay 2005 Developing 75.7 123 1 6.35 1.525448e+02 96 0 58.3 1 96 11.15 96 0.1 5.229511e+02 3.325612e+06 1.6 1.6 0.753 15.5
Uruguay 2004 Developing 75.4 122 1 5.66 8.823564e+02 94 0 57.7 1 95 11.59 94 0.1 4.117389e+03 3.324960e+05 1.7 1.6 0.750 15.5
Uruguay 2003 Developing 75.4 121 1 5.11 1.608400e+02 91 0 57.0 1 91 6.52 91 0.1 3.622523e+03 3.325637e+06 1.7 1.6 0.747 15.0
Uruguay 2002 Developing 75.4 124 1 5.86 2.746881e+01 95 0 56.3 1 93 7.18 95 0.1 4.887689e+02 3.327773e+06 1.7 1.7 0.746 14.7
Uruguay 2001 Developing 75.2 123 1 6.48 4.214804e+02 94 0 55.7 1 94 7.46 94 0.1 6.281377e+03 3.327130e+05 1.8 1.7 0.742 14.2
Uruguay 2000 Developing 75.1 131 1 6.65 6.459584e+02 92 0 55.0 1 92 7.82 9 0.1 6.871898e+03 3.321245e+06 1.8 1.7 0.738 14.0
Uzbekistan 2015 Developing 69.4 184 15 NA 0.000000e+00 99 22 44.7 17 99 NA 99 0.1 2.137577e+03 3.129890e+05 3.0 3.1 0.697 12.1
Uzbekistan 2014 Developing 69.2 184 16 0.01 4.428024e-01 99 8 43.9 18 99 5.84 99 0.1 2.544841e+01 3.757700e+04 3.0 3.1 0.690 12.1
Uzbekistan 2013 Developing 69.1 185 17 0.01 1.916247e+01 99 0 43.0 19 99 6.32 99 0.1 1.975512e+02 3.243200e+04 3.0 3.1 0.681 12.0
Uzbekistan 2012 Developing 68.8 184 18 0.01 1.671406e+01 99 0 42.2 21 99 6.49 99 0.1 1.744683e+02 2.977450e+05 3.0 3.1 0.673 12.0
Uzbekistan 2011 Developing 68.5 183 19 2.83 1.406905e+02 99 476 41.4 22 99 5.65 99 0.1 1.564967e+03 2.933940e+05 3.0 3.1 0.664 12.0
Uzbekistan 2010 Developing 68.3 183 20 2.73 1.194571e+02 99 117 4.7 23 99 5.34 99 0.2 1.377821e+03 2.856240e+05 3.0 3.1 0.657 11.9
Uzbekistan 2009 Developing 68.0 183 21 2.56 9.281480e+01 98 0 4.0 24 99 6.31 98 0.2 1.213265e+03 2.776740e+05 3.1 3.1 0.651 11.8
Uzbekistan 2008 Developing 67.9 184 22 2.36 1.389021e+01 91 2 39.3 25 98 5.92 98 0.3 1.822862e+02 2.732800e+04 3.1 3.1 0.644 11.9
Uzbekistan 2007 Developing 67.8 184 22 2.15 9.290984e+00 99 863 38.7 26 98 5.81 96 0.3 8.347694e+01 2.686800e+04 3.1 3.1 0.631 11.8
Uzbekistan 2006 Developing 67.6 185 23 1.96 7.727092e+01 98 823 38.1 27 94 5.49 96 0.4 6.542838e+02 2.648825e+06 3.2 3.2 0.626 11.8
Uzbekistan 2005 Developing 67.3 192 24 1.78 4.013342e+01 99 737 37.5 28 99 5.11 99 0.3 5.467769e+02 2.616700e+04 3.2 3.2 0.620 11.7
Uzbekistan 2004 Developing 67.8 183 24 1.59 3.441887e+01 99 75 37.0 29 99 5.11 99 0.3 4.651199e+02 2.586435e+06 3.2 3.2 0.613 11.6
Uzbekistan 2003 Developing 67.2 183 25 1.54 2.852136e+01 99 85 36.4 30 99 5.17 98 0.3 3.961300e+02 2.556765e+06 3.3 3.3 0.607 11.3
Uzbekistan 2002 Developing 67.1 186 27 1.47 2.499439e+01 62 25 35.9 32 99 5.44 99 0.2 3.833495e+02 2.527185e+06 3.3 3.3 0.600 11.0
Uzbekistan 2001 Developing 67.4 185 28 1.53 4.366386e+01 NA 22 35.3 34 99 5.28 99 0.2 4.567349e+02 2.496445e+06 3.4 3.3 0.594 10.7
Uzbekistan 2000 Developing 67.1 189 30 1.60 4.850942e+01 NA 80 34.8 36 99 5.29 99 0.1 5.582211e+02 2.465400e+04 3.4 3.4 0.000 10.6
Vanuatu 2015 Developing 72.0 13 0 NA 0.000000e+00 64 39 53.3 0 65 NA 64 0.1 2.858341e+02 2.646300e+04 1.5 1.4 0.598 10.8
Vanuatu 2014 Developing 71.7 134 0 0.01 5.648167e+02 64 10 52.5 0 65 5.20 64 0.1 3.148365e+03 2.588500e+04 1.5 1.4 0.596 10.8
Vanuatu 2013 Developing 71.6 135 0 0.01 4.475456e+02 64 0 51.7 0 65 3.92 64 0.1 3.167344e+03 2.531420e+05 1.5 1.4 0.591 10.8
Vanuatu 2012 Developing 71.4 138 0 0.01 4.279885e+02 64 0 5.8 0 65 3.70 64 0.1 3.158587e+03 2.474850e+05 1.5 1.4 0.592 10.8
Vanuatu 2011 Developing 71.2 141 0 0.85 4.579732e+02 63 0 49.9 0 65 3.85 65 0.1 3.275917e+03 2.418710e+05 1.5 1.4 0.591 10.8
Vanuatu 2010 Developing 71.0 145 0 0.91 4.718627e+02 62 0 49.1 0 66 4.71 65 0.1 2.965824e+03 2.362950e+05 1.5 1.4 0.590 10.8
Vanuatu 2009 Developing 78.0 149 0 0.83 3.610941e+02 62 0 48.2 0 66 3.90 66 0.1 2.643441e+03 2.378500e+04 1.5 1.5 0.589 10.7
Vanuatu 2008 Developing 75.0 153 0 1.18 3.453391e+02 61 0 47.4 0 66 3.66 67 0.1 2.697961e+03 2.253400e+04 1.5 1.5 0.582 10.7
Vanuatu 2007 Developing 73.0 157 0 1.01 3.424909e+02 6 0 46.6 0 67 3.67 67 0.1 2.393367e+03 2.199530e+05 1.6 1.5 0.579 10.7
Vanuatu 2006 Developing 71.0 161 0 1.00 4.319781e+01 59 0 45.7 0 67 3.96 68 0.1 2.479782e+02 2.146340e+05 1.6 1.5 0.572 10.6
Vanuatu 2005 Developing 69.9 165 0 0.88 3.372943e+02 61 3 44.9 0 67 3.87 68 0.1 1.886433e+03 2.937000e+03 1.6 1.5 0.000 10.6
Vanuatu 2004 Developing 69.6 169 0 0.85 3.341673e+02 63 0 44.1 0 67 4.12 69 0.1 1.787947e+03 2.414300e+04 1.6 1.5 0.000 10.7
Vanuatu 2003 Developing 69.4 173 0 1.20 2.729839e+01 64 165 43.3 0 67 4.20 69 0.1 1.585272e+02 1.989640e+05 1.6 1.6 0.000 10.4
Vanuatu 2002 Developing 69.3 176 0 1.24 1.711374e+02 66 101 42.6 0 67 3.52 7 0.1 1.353935e+03 1.939560e+05 1.7 1.6 0.000 10.2
Vanuatu 2001 Developing 69.1 179 0 0.91 1.631053e+02 68 7 41.9 0 67 3.37 7 0.1 1.362617e+03 1.892900e+04 1.7 1.6 0.000 10.1
Vanuatu 2000 Developing 69.0 18 0 1.21 2.190075e+01 7 9 41.1 0 67 3.28 71 0.1 1.469849e+03 1.856300e+04 1.7 1.7 0.000 9.6
Venezuela (Bolivarian Republic of) 2015 Developing 74.1 157 9 NA 0.000000e+00 87 0 62.1 10 87 NA 87 0.1 NA NA 1.6 1.5 0.769 14.3
Venezuela (Bolivarian Republic of) 2014 Developing 73.9 158 9 6.47 0.000000e+00 78 0 61.5 10 79 5.26 78 0.1 NA NA 1.6 1.5 0.771 14.2
Venezuela (Bolivarian Republic of) 2013 Developing 73.8 159 9 6.71 0.000000e+00 82 0 61.0 10 82 4.94 82 0.1 NA NA 1.6 1.5 0.770 14.2
Venezuela (Bolivarian Republic of) 2012 Developing 73.7 161 9 6.70 0.000000e+00 81 1 6.4 10 73 4.80 81 0.1 NA NA 1.6 1.5 0.767 14.1
Venezuela (Bolivarian Republic of) 2011 Developing 73.8 158 9 6.74 0.000000e+00 78 0 59.9 10 78 5.24 78 0.1 NA NA 1.6 1.5 0.756 14.1
Venezuela (Bolivarian Republic of) 2010 Developing 73.7 158 9 7.22 0.000000e+00 78 0 59.3 10 74 5.40 78 0.1 NA NA 1.6 1.5 0.754 14.0
Venezuela (Bolivarian Republic of) 2009 Developing 73.6 166 9 7.59 0.000000e+00 84 0 58.8 10 75 5.81 84 0.1 NA NA 1.6 1.5 0.754 14.0
Venezuela (Bolivarian Republic of) 2008 Developing 73.2 168 9 8.18 0.000000e+00 53 0 58.2 10 76 3.98 5 0.1 NA NA 1.6 1.5 0.745 13.4
Venezuela (Bolivarian Republic of) 2007 Developing 73.4 165 9 8.70 0.000000e+00 62 32 57.6 10 67 5.25 62 0.1 NA NA 1.6 1.5 0.728 12.9
Venezuela (Bolivarian Republic of) 2006 Developing 73.6 163 9 8.27 0.000000e+00 71 78 57.1 11 73 4.85 71 0.1 NA NA 1.6 1.6 0.714 12.4
Venezuela (Bolivarian Republic of) 2005 Developing 73.6 158 9 7.92 0.000000e+00 88 0 56.5 11 8 4.69 87 0.1 NA NA 1.7 1.6 0.700 11.8
Venezuela (Bolivarian Republic of) 2004 Developing 73.3 161 10 7.55 0.000000e+00 82 0 55.9 11 83 4.78 86 0.1 NA NA 1.7 1.6 0.687 11.6
Venezuela (Bolivarian Republic of) 2003 Developing 72.4 172 10 6.30 0.000000e+00 72 0 55.3 12 86 4.93 68 0.1 NA NA 1.7 1.6 0.688 11.6
Venezuela (Bolivarian Republic of) 2002 Developing 73.1 167 10 6.89 0.000000e+00 6 2392 54.7 12 81 4.93 65 0.1 NA NA 1.7 1.7 0.684 11.0
Venezuela (Bolivarian Republic of) 2001 Developing 72.5 169 10 8.05 0.000000e+00 53 115 54.1 12 87 5.21 7 0.1 NA NA 1.8 1.7 0.672 10.4
Venezuela (Bolivarian Republic of) 2000 Developing 72.5 168 11 8.01 0.000000e+00 5 22 53.4 13 86 4.91 77 0.1 NA NA 1.8 1.7 0.670 10.6
Viet Nam 2015 Developing 76.0 127 28 NA 0.000000e+00 97 256 17.5 35 97 NA 97 0.1 NA NA 14.2 14.5 0.678 12.6
Viet Nam 2014 Developing 75.9 128 28 4.09 0.000000e+00 95 15033 16.7 35 96 7.70 95 0.1 NA NA 14.3 14.7 0.675 12.5
Viet Nam 2013 Developing 75.7 129 28 4.00 0.000000e+00 59 1123 16.0 35 93 7.17 59 0.1 NA NA 14.3 14.9 0.668 12.3
Viet Nam 2012 Developing 75.6 13 29 4.12 0.000000e+00 97 578 15.3 36 97 6.96 97 0.1 NA NA 14.4 15.0 0.662 12.2
Viet Nam 2011 Developing 75.4 131 29 3.94 0.000000e+00 95 750 14.7 36 96 6.20 95 0.1 NA NA 14.4 15.2 0.655 12.0
Viet Nam 2010 Developing 75.2 133 29 3.93 0.000000e+00 88 2809 14.0 35 94 6.36 93 0.1 NA NA 14.5 15.4 0.647 11.9
Viet Nam 2009 Developing 75.0 134 29 3.86 0.000000e+00 94 6582 13.4 35 97 6.40 96 0.1 NA NA 14.6 15.5 0.641 11.7
Viet Nam 2008 Developing 74.9 135 28 3.58 0.000000e+00 87 352 12.9 35 93 5.53 93 0.2 NA NA 14.7 15.7 0.633 11.6
Viet Nam 2007 Developing 74.7 136 28 3.01 0.000000e+00 67 17 12.3 35 92 6.90 92 0.2 NA NA 14.9 15.8 0.625 11.4
Viet Nam 2006 Developing 74.6 136 28 2.56 0.000000e+00 93 1978 11.8 35 94 5.56 94 0.2 NA NA 15.1 15.9 0.618 11.3
Viet Nam 2005 Developing 74.4 136 29 2.70 0.000000e+00 94 410 11.3 36 94 5.38 95 0.2 NA NA 15.3 16.0 0.609 11.1
Viet Nam 2004 Developing 74.2 136 29 2.86 0.000000e+00 94 217 1.9 36 96 5.90 96 0.2 NA NA 15.4 16.1 0.601 11.0
Viet Nam 2003 Developing 74.0 137 30 2.19 0.000000e+00 78 2297 1.4 37 96 4.84 99 0.2 NA NA 15.6 16.2 0.592 10.9
Viet Nam 2002 Developing 73.8 137 30 2.03 0.000000e+00 NA 6755 1.0 39 92 4.70 75 0.2 NA NA 15.6 16.3 0.584 10.7
Viet Nam 2001 Developing 73.6 138 32 1.84 0.000000e+00 NA 12058 9.6 41 96 5.17 96 0.1 NA NA 15.7 16.4 0.576 10.6
Viet Nam 2000 Developing 73.4 139 33 1.60 0.000000e+00 NA 16512 9.2 43 96 4.89 96 0.1 NA NA 15.8 16.4 0.569 10.4
Yemen 2015 Developing 65.7 224 37 NA 0.000000e+00 69 468 41.3 47 63 NA 69 0.1 NA NA 13.6 13.4 0.499 9.0
Yemen 2014 Developing 65.4 228 37 0.01 0.000000e+00 73 815 4.4 47 67 5.64 73 0.1 NA NA 13.7 13.5 0.500 9.0
Yemen 2013 Developing 65.4 226 36 0.04 0.000000e+00 73 400 39.6 46 67 5.78 73 0.1 NA NA 13.7 13.5 0.498 9.0
Yemen 2012 Developing 64.7 236 36 0.04 0.000000e+00 67 2177 38.7 46 68 5.73 67 0.1 NA NA 13.7 13.6 0.494 9.0
Yemen 2011 Developing 64.6 234 35 0.04 0.000000e+00 69 2676 37.9 45 69 5.40 69 0.1 NA NA 13.7 13.6 0.493 8.6
Yemen 2010 Developing 64.4 233 35 0.06 0.000000e+00 76 510 37.2 45 77 5.17 76 0.1 NA NA 13.7 13.7 0.488 8.5
Yemen 2009 Developing 64.1 235 36 0.03 0.000000e+00 76 130 36.4 46 76 5.32 76 0.1 NA NA 13.8 13.7 0.483 8.4
Yemen 2008 Developing 63.8 238 37 0.04 0.000000e+00 78 7 35.7 47 78 5.12 78 0.1 NA NA 13.8 13.7 0.480 8.5
Yemen 2007 Developing 63.4 24 38 0.05 0.000000e+00 79 13 35.1 49 79 4.92 79 0.1 NA NA 13.8 13.8 0.477 8.6
Yemen 2006 Developing 63.0 242 39 0.04 0.000000e+00 78 8079 34.5 51 78 4.82 78 0.1 NA NA 13.9 13.8 0.475 8.7
Yemen 2005 Developing 62.6 245 40 0.04 0.000000e+00 8 6285 33.9 53 8 4.58 79 0.1 NA NA 13.9 13.8 0.470 8.6
Yemen 2004 Developing 62.2 247 42 0.06 0.000000e+00 43 12708 33.3 56 72 4.90 72 0.1 NA NA 13.9 13.9 0.464 8.4
Yemen 2003 Developing 61.9 249 43 0.04 0.000000e+00 38 8536 32.7 58 61 5.00 61 0.1 NA NA 14.0 13.9 0.457 8.2
Yemen 2002 Developing 61.5 25 45 0.07 0.000000e+00 31 890 32.2 61 64 4.22 65 0.1 NA NA 14.0 14.0 0.450 8.0
Yemen 2001 Developing 61.1 251 46 0.08 0.000000e+00 19 485 31.7 63 73 4.34 73 0.1 NA NA 14.0 14.0 0.444 7.9
Yemen 2000 Developing 68.0 252 48 0.07 0.000000e+00 14 0 31.2 66 74 4.14 74 0.1 NA NA 14.1 14.1 0.436 7.7
Zambia 2015 Developing 61.8 33 27 NA 0.000000e+00 9 9 23.4 40 9 NA 9 4.1 1.313890e+03 1.615870e+05 6.3 6.1 0.576 12.5
Zambia 2014 Developing 61.1 314 28 0.01 1.966676e+02 86 9 22.8 41 78 4.99 86 4.3 1.738882e+03 1.562974e+06 6.3 6.2 0.570 12.5
Zambia 2013 Developing 63.0 328 29 2.41 2.062306e+01 79 35 22.3 42 74 4.99 79 4.8 1.857934e+02 1.515321e+06 6.4 6.2 0.565 12.5
Zambia 2012 Developing 59.2 349 29 2.59 1.969152e+02 78 896 21.7 43 7 4.91 78 5.6 1.734936e+03 1.469994e+07 6.5 6.3 0.554 12.3
Zambia 2011 Developing 58.2 366 29 2.57 1.830462e+02 81 13234 21.2 44 83 4.26 81 6.3 1.644620e+03 1.426476e+07 6.6 6.4 0.543 12.0
Zambia 2010 Developing 58.0 363 30 2.47 1.843649e+02 83 15754 2.7 45 8 4.41 83 6.8 1.463214e+03 1.385330e+05 6.7 6.5 0.533 11.8
Zambia 2009 Developing 57.4 368 30 2.30 1.438699e+02 94 26 2.2 47 93 4.73 94 9.1 1.139112e+03 1.345642e+07 6.7 6.6 0.518 11.6
Zambia 2008 Developing 55.7 45 31 2.12 1.536784e+02 87 140 19.7 49 9 4.87 87 11.9 1.369682e+03 1.382517e+06 6.8 6.7 0.504 11.4
Zambia 2007 Developing 52.6 487 32 2.08 1.085148e+01 8 535 19.2 51 77 4.37 8 13.6 1.145880e+02 1.272597e+07 6.9 6.8 0.492 11.1
Zambia 2006 Developing 58.0 526 33 2.25 1.860004e+00 81 459 18.8 52 83 6.11 81 15.9 1.315420e+01 1.238345e+07 7.0 6.9 0.479 10.9
Zambia 2005 Developing 49.3 554 34 2.33 1.218793e+02 82 45 18.4 55 84 7.56 82 17.0 6.913178e+02 1.252156e+06 7.1 7.0 0.467 10.7
Zambia 2004 Developing 47.9 578 36 2.46 8.369851e+00 NA 35 18.0 59 84 7.33 83 17.6 5.327722e+01 1.173175e+07 7.2 7.1 0.456 10.5
Zambia 2003 Developing 46.4 64 39 2.33 6.578997e+01 NA 881 17.6 62 85 8.18 83 18.2 4.291583e+02 1.142198e+07 7.3 7.2 0.443 10.2
Zambia 2002 Developing 45.5 69 41 2.44 5.404348e+01 NA 25036 17.3 66 85 6.93 84 18.4 3.771352e+02 1.112490e+05 7.4 7.3 0.433 10.0
Zambia 2001 Developing 44.6 611 43 2.61 4.683027e+01 NA 16997 17.1 70 86 6.56 85 18.6 3.782736e+02 1.824125e+06 7.4 7.4 0.424 9.8
Zambia 2000 Developing 43.8 614 44 2.62 4.561688e+01 NA 30930 16.8 72 85 7.16 85 18.7 3.419556e+02 1.531221e+06 7.5 7.5 0.418 9.6
Zimbabwe 2015 Developing 67.0 336 22 NA 0.000000e+00 87 0 31.8 32 88 NA 87 6.2 1.186938e+02 1.577745e+07 5.6 5.5 0.507 10.3
Zimbabwe 2014 Developing 59.2 371 23 6.50 1.082260e+01 91 0 31.3 34 92 6.44 91 6.3 1.274746e+02 1.541168e+07 5.9 5.7 0.498 10.3
Zimbabwe 2013 Developing 58.0 399 25 6.39 1.066671e+01 95 0 3.8 36 95 6.88 95 6.8 1.112274e+02 1.554560e+05 6.2 6.0 0.488 10.4
Zimbabwe 2012 Developing 56.6 429 26 6.09 9.260234e+01 97 0 3.3 39 95 6.69 95 8.8 9.556485e+02 1.471826e+06 6.5 6.4 0.464 9.8
Zimbabwe 2011 Developing 54.9 464 28 6.00 6.375053e+01 94 0 29.9 42 93 6.31 93 13.3 8.399279e+02 1.438665e+07 6.8 6.7 0.452 10.1
Zimbabwe 2010 Developing 52.4 527 29 5.21 5.330858e+01 9 9696 29.4 44 89 5.37 89 15.7 7.136356e+02 1.486317e+06 7.1 7.0 0.436 10.0
Zimbabwe 2009 Developing 50.0 587 30 4.64 1.040021e+00 73 853 29.0 45 69 6.26 73 18.1 6.582412e+01 1.381599e+06 7.5 7.4 0.419 9.9
Zimbabwe 2008 Developing 48.2 632 30 3.56 2.084343e+01 75 0 28.6 46 75 4.96 75 20.5 3.256786e+02 1.355847e+07 7.8 7.8 0.421 9.7
Zimbabwe 2007 Developing 46.6 67 29 3.88 2.981457e+01 72 242 28.2 46 73 4.47 73 23.7 3.969982e+02 1.332999e+06 8.2 8.2 0.414 9.6
Zimbabwe 2006 Developing 45.4 7 28 4.57 3.426217e+01 68 212 27.9 45 71 5.12 7 26.8 4.147962e+02 1.312427e+07 8.6 8.6 0.408 9.5
Zimbabwe 2005 Developing 44.6 717 28 4.14 8.717409e+00 65 420 27.5 43 69 6.44 68 30.3 4.447658e+02 1.294320e+05 9.0 9.0 0.406 9.3
Zimbabwe 2004 Developing 44.3 723 27 4.36 0.000000e+00 68 31 27.1 42 67 7.13 65 33.6 4.543667e+02 1.277751e+07 9.4 9.4 0.407 9.2
Zimbabwe 2003 Developing 44.5 715 26 4.06 0.000000e+00 7 998 26.7 41 7 6.52 68 36.7 4.533512e+02 1.263390e+07 9.8 9.9 0.418 9.5
Zimbabwe 2002 Developing 44.8 73 25 4.43 0.000000e+00 73 304 26.3 40 73 6.53 71 39.8 5.734834e+01 1.255250e+05 1.2 1.3 0.427 10.0
Zimbabwe 2001 Developing 45.3 686 25 1.72 0.000000e+00 76 529 25.9 39 76 6.16 75 42.1 5.485873e+02 1.236617e+07 1.6 1.7 0.427 9.8
Zimbabwe 2000 Developing 46.0 665 24 1.68 0.000000e+00 79 1483 25.5 39 78 7.10 78 43.5 5.473589e+02 1.222225e+07 11.0 11.2 0.434 9.8


In order to perform a successful analysis, it is important to properly understand the variables presented in the data. As we saw above, the dataset contains 22 variables (features). Let’s start by answering the following question:

What does each variable mean and what type of variable is it (Nominal/Ordinal/Interval/Ratio)?

Column Name Type Description
Country Nominal Country
Year Ordinal Data is collected from 2000 - 2015 years
Status Nominal Developed or Developing status
Life expectancy Ratio Life Expectancy in age
Adult Mortality Ratio Adult Mortality Rates of both sexes (probability of dying between 15 and 60 years per 1000 population)
Infant deaths Ratio Number of Infant Deaths per 1000 population
Alcohol Ratio Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol)
Percentage expenditure Ratio Expenditure on health as a percentage of Gross Domestic Product per capita(%)
Hepatitis B Ratio Hepatitis B (HepB) immunization coverage among 1-year-olds (%)
Measles Ratio Number of reported cases of Measles per 1000 population
BMI Ratio Average Body Mass Index of the entire population
Under-five deaths Ratio Number of under-five deaths per 1000 population
Polio Ratio Polio (Pol3) immunization coverage among 1-year-olds (%)
Total expenditure Ratio General government expenditure on health as a percentage of total government expenditure (%)
Diphtheria Ratio Diphtheria tetanus toxoid and pertussis (DTP3) immunization coverage among 1-year-olds (%)
HIV/AIDS Ratio Deaths per 1 000 live births due to HIV/AIDS (0-4 years)
GDP Ratio Gross Domestic Product per capita (in USD)
Population Ratio Population of the country
Thinness 1-19 years Ratio Prevalence of thinness among children and adolescents for Age 10 to 19 (%)
Thinness 5-9 years Ratio Prevalence of thinness among children for Age 5 to 9 (%)
Income composition of resources Ratio Human Development Index in terms of income composition of resources (index ranging from 0 to 1)
Schooling Ratio Number of years of Schooling (years)


Let’s check whether the columns of our dataframe correspond to the described types above. To do this, we use the command str() to look at the dataset structure:

str(LifeExp)
## 'data.frame':    2938 obs. of  22 variables:
##  $ Country                        : chr  "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
##  $ Year                           : int  2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 ...
##  $ Status                         : chr  "Developing" "Developing" "Developing" "Developing" ...
##  $ Life.expectancy                : num  65 59.9 59.9 59.5 59.2 58.8 58.6 58.1 57.5 57.3 ...
##  $ Adult.Mortality                : int  263 271 268 272 275 279 281 287 295 295 ...
##  $ infant.deaths                  : int  62 64 66 69 71 74 77 80 82 84 ...
##  $ Alcohol                        : num  0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.03 0.02 0.03 ...
##  $ percentage.expenditure         : num  71.3 73.5 73.2 78.2 7.1 ...
##  $ Hepatitis.B                    : int  65 62 64 67 68 66 63 64 63 64 ...
##  $ Measles                        : int  1154 492 430 2787 3013 1989 2861 1599 1141 1990 ...
##  $ BMI                            : num  19.1 18.6 18.1 17.6 17.2 16.7 16.2 15.7 15.2 14.7 ...
##  $ under.five.deaths              : int  83 86 89 93 97 102 106 110 113 116 ...
##  $ Polio                          : int  6 58 62 67 68 66 63 64 63 58 ...
##  $ Total.expenditure              : num  8.16 8.18 8.13 8.52 7.87 9.2 9.42 8.33 6.73 7.43 ...
##  $ Diphtheria                     : int  65 62 64 67 68 66 63 64 63 58 ...
##  $ HIV.AIDS                       : num  0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 ...
##  $ GDP                            : num  584.3 612.7 631.7 670 63.5 ...
##  $ Population                     : num  33736494 327582 31731688 3696958 2978599 ...
##  $ thinness..1.19.years           : num  17.2 17.5 17.7 17.9 18.2 18.4 18.6 18.8 19 19.2 ...
##  $ thinness.5.9.years             : num  17.3 17.5 17.7 18 18.2 18.4 18.7 18.9 19.1 19.3 ...
##  $ Income.composition.of.resources: num  0.479 0.476 0.47 0.463 0.454 0.448 0.434 0.433 0.415 0.405 ...
##  $ Schooling                      : num  10.1 10 9.9 9.8 9.5 9.2 8.9 8.7 8.4 8.1 ...

The shown result corresponds to the given dataset description, which means that there were no problems when loading the data. So, we can begin the first part of our statistical analysis, which is data preparation (aka cleaning, wrangling).

Data Wrangling

In this section we will carry out the cleaning of the data. First of all we will check whether some of the variables have missing values (in the form of NaN, NA and Null). If so, we will try to answer: what should be done about them? We will determine whether some columns shall be removed and whether some can be modified or created. After, we will focus our efforts on determining outliers and ways to deal with them.

Before we proceed with the missing values analysis, let’s perform a couple of quick fixes to our data:

colnames(LifeExp)[colnames(LifeExp) == "thinness..1.19.years"] <- "thinness.10.19.years"

# Convert a character column to a factor column
LifeExp$Year    <- as.factor(LifeExp$Year)
LifeExp$Country <- as.factor(LifeExp$Country)
LifeExp$Status  <- as.factor(LifeExp$Status)

str(LifeExp)
## 'data.frame':    2938 obs. of  22 variables:
##  $ Country                        : Factor w/ 193 levels "Afghanistan",..: 1 1 1 1 1 1 1 1 1 1 ...
##  $ Year                           : Factor w/ 16 levels "2000","2001",..: 16 15 14 13 12 11 10 9 8 7 ...
##  $ Status                         : Factor w/ 2 levels "Developed","Developing": 2 2 2 2 2 2 2 2 2 2 ...
##  $ Life.expectancy                : num  65 59.9 59.9 59.5 59.2 58.8 58.6 58.1 57.5 57.3 ...
##  $ Adult.Mortality                : int  263 271 268 272 275 279 281 287 295 295 ...
##  $ infant.deaths                  : int  62 64 66 69 71 74 77 80 82 84 ...
##  $ Alcohol                        : num  0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.03 0.02 0.03 ...
##  $ percentage.expenditure         : num  71.3 73.5 73.2 78.2 7.1 ...
##  $ Hepatitis.B                    : int  65 62 64 67 68 66 63 64 63 64 ...
##  $ Measles                        : int  1154 492 430 2787 3013 1989 2861 1599 1141 1990 ...
##  $ BMI                            : num  19.1 18.6 18.1 17.6 17.2 16.7 16.2 15.7 15.2 14.7 ...
##  $ under.five.deaths              : int  83 86 89 93 97 102 106 110 113 116 ...
##  $ Polio                          : int  6 58 62 67 68 66 63 64 63 58 ...
##  $ Total.expenditure              : num  8.16 8.18 8.13 8.52 7.87 9.2 9.42 8.33 6.73 7.43 ...
##  $ Diphtheria                     : int  65 62 64 67 68 66 63 64 63 58 ...
##  $ HIV.AIDS                       : num  0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 ...
##  $ GDP                            : num  584.3 612.7 631.7 670 63.5 ...
##  $ Population                     : num  33736494 327582 31731688 3696958 2978599 ...
##  $ thinness.10.19.years           : num  17.2 17.5 17.7 17.9 18.2 18.4 18.6 18.8 19 19.2 ...
##  $ thinness.5.9.years             : num  17.3 17.5 17.7 18 18.2 18.4 18.7 18.9 19.1 19.3 ...
##  $ Income.composition.of.resources: num  0.479 0.476 0.47 0.463 0.454 0.448 0.434 0.433 0.415 0.405 ...
##  $ Schooling                      : num  10.1 10 9.9 9.8 9.5 9.2 8.9 8.7 8.4 8.1 ...

Checking unique values

Let’s have a look at the unique values in our dataset.
We do this just to double check that number of unique values corresponds to the dataset’s description.

num_unique_values <- sapply(LifeExp, function(x) length(unique(x)))

for (i in 1 : ncol(LifeExp)) {
  column_name <- names(LifeExp)[i]
  num_unique <- num_unique_values[i]
  cat(column_name, ": ", num_unique, "\n")
}
## Country :  193 
## Year :  16 
## Status :  2 
## Life.expectancy :  363 
## Adult.Mortality :  426 
## infant.deaths :  209 
## Alcohol :  1077 
## percentage.expenditure :  2328 
## Hepatitis.B :  88 
## Measles :  958 
## BMI :  609 
## under.five.deaths :  252 
## Polio :  74 
## Total.expenditure :  819 
## Diphtheria :  82 
## HIV.AIDS :  200 
## GDP :  2491 
## Population :  2279 
## thinness.10.19.years :  201 
## thinness.5.9.years :  208 
## Income.composition.of.resources :  626 
## Schooling :  174

Missing Values

To address missing values, the following steps can be taken:

  • Detection of missing values:
    • Identify null values in the dataset.
    • Consider if there are any alternative representations of missing values, such as zero values.
  • Dealing with missing values:
    • Decide whether to fill the null values through imputation or interpolation techniques.
    • Alternatively, consider removing the null values from the dataset if appropriate.

Lets first check the existence of explicit null values.

is.null(LifeExp)
## [1] FALSE
sum(is.na(LifeExp))
## [1] 2563
sum(is.nan(as.matrix(LifeExp)))
## [1] 0
colSums(is.na(LifeExp))
##                         Country                            Year 
##                               0                               0 
##                          Status                 Life.expectancy 
##                               0                              10 
##                 Adult.Mortality                   infant.deaths 
##                              10                               0 
##                         Alcohol          percentage.expenditure 
##                             194                               0 
##                     Hepatitis.B                         Measles 
##                             553                               0 
##                             BMI               under.five.deaths 
##                              34                               0 
##                           Polio               Total.expenditure 
##                              19                             226 
##                      Diphtheria                        HIV.AIDS 
##                              19                               0 
##                             GDP                      Population 
##                             448                             652 
##            thinness.10.19.years              thinness.5.9.years 
##                              34                              34 
## Income.composition.of.resources                       Schooling 
##                             167                             163

As we can see most of the columns contain missing values (NA), resulting in a total of 2563 missing entries. Before we decide how to deal with them, let’s check whether there are some wrong entries, which we call inexplicit nulls. The simplest and fastest way to check for such entries would be to do a quick summary() and look at each variable separately and see if the values make sense based on their descriptions.

summary(LifeExp)
##                 Country          Year             Status     Life.expectancy
##  Afghanistan        :  16   2013   : 193   Developed : 512   Min.   :36.30  
##  Albania            :  16   2000   : 183   Developing:2426   1st Qu.:63.10  
##  Algeria            :  16   2001   : 183                     Median :72.10  
##  Angola             :  16   2002   : 183                     Mean   :69.22  
##  Antigua and Barbuda:  16   2003   : 183                     3rd Qu.:75.70  
##  Argentina          :  16   2004   : 183                     Max.   :89.00  
##  (Other)            :2842   (Other):1830                     NA's   :10     
##  Adult.Mortality infant.deaths       Alcohol        percentage.expenditure
##  Min.   :  1.0   Min.   :   0.0   Min.   : 0.0100   Min.   :    0.000     
##  1st Qu.: 74.0   1st Qu.:   0.0   1st Qu.: 0.8775   1st Qu.:    4.685     
##  Median :144.0   Median :   3.0   Median : 3.7550   Median :   64.913     
##  Mean   :164.8   Mean   :  30.3   Mean   : 4.6029   Mean   :  738.251     
##  3rd Qu.:228.0   3rd Qu.:  22.0   3rd Qu.: 7.7025   3rd Qu.:  441.534     
##  Max.   :723.0   Max.   :1800.0   Max.   :17.8700   Max.   :19479.912     
##  NA's   :10                       NA's   :194                             
##   Hepatitis.B       Measles              BMI        under.five.deaths
##  Min.   : 1.00   Min.   :     0.0   Min.   : 1.00   Min.   :   0.00  
##  1st Qu.:77.00   1st Qu.:     0.0   1st Qu.:19.30   1st Qu.:   0.00  
##  Median :92.00   Median :    17.0   Median :43.50   Median :   4.00  
##  Mean   :80.94   Mean   :  2419.6   Mean   :38.32   Mean   :  42.04  
##  3rd Qu.:97.00   3rd Qu.:   360.2   3rd Qu.:56.20   3rd Qu.:  28.00  
##  Max.   :99.00   Max.   :212183.0   Max.   :87.30   Max.   :2500.00  
##  NA's   :553                        NA's   :34                       
##      Polio       Total.expenditure   Diphtheria       HIV.AIDS     
##  Min.   : 3.00   Min.   : 0.370    Min.   : 2.00   Min.   : 0.100  
##  1st Qu.:78.00   1st Qu.: 4.260    1st Qu.:78.00   1st Qu.: 0.100  
##  Median :93.00   Median : 5.755    Median :93.00   Median : 0.100  
##  Mean   :82.55   Mean   : 5.938    Mean   :82.32   Mean   : 1.742  
##  3rd Qu.:97.00   3rd Qu.: 7.492    3rd Qu.:97.00   3rd Qu.: 0.800  
##  Max.   :99.00   Max.   :17.600    Max.   :99.00   Max.   :50.600  
##  NA's   :19      NA's   :226       NA's   :19                      
##       GDP              Population        thinness.10.19.years
##  Min.   :     1.68   Min.   :3.400e+01   Min.   : 0.10       
##  1st Qu.:   463.94   1st Qu.:1.958e+05   1st Qu.: 1.60       
##  Median :  1766.95   Median :1.387e+06   Median : 3.30       
##  Mean   :  7483.16   Mean   :1.275e+07   Mean   : 4.84       
##  3rd Qu.:  5910.81   3rd Qu.:7.420e+06   3rd Qu.: 7.20       
##  Max.   :119172.74   Max.   :1.294e+09   Max.   :27.70       
##  NA's   :448         NA's   :652         NA's   :34          
##  thinness.5.9.years Income.composition.of.resources   Schooling    
##  Min.   : 0.10      Min.   :0.0000                  Min.   : 0.00  
##  1st Qu.: 1.50      1st Qu.:0.4930                  1st Qu.:10.10  
##  Median : 3.30      Median :0.6770                  Median :12.30  
##  Mean   : 4.87      Mean   :0.6276                  Mean   :11.99  
##  3rd Qu.: 7.20      3rd Qu.:0.7790                  3rd Qu.:14.30  
##  Max.   :28.60      Max.   :0.9480                  Max.   :20.70  
##  NA's   :34         NA's   :167                     NA's   :163

Judging by the summary for the variables, it seems that some values in the dataset may be inaccurate or require further investigation. Here’s a breakdown of the potential issues:

  • Adult mortality of 1: It’s highly unlikely for adult mortality to be as low as 1. This could indicate a measurement error. We can set a certain threshold and consider all the values below it as null.

  • Infant deaths of 0 and 1800: Having zero infant deaths per 1000 births is implausible, so it’s reasonable to consider such values as null. On the other hand, 1800 infant deaths may be an outlier but could be possible in certain circumstances, such as high birthrates and a relatively small population. Further analysis is needed to determine if it’s an outlier or an accurate measurement.

  • BMI of 1 and 87.3: These values seem unrealistic, as it would indicate extreme underweight or obesity across an entire population. These values may be inaccurate or outliers. Considering the nature of this variable, it might be worth investigating further or even disregarding if the data quality is questionable.

  • Under Five Deaths at zero: Similar to infant deaths, reporting zero deaths for children under five is highly unlikely. It’s reasonable to treat such values as null or investigate the data source for clarification.

  • GDP per capita of 1.68: Extremely low GDP values like 1.68 (in USD) may be implausible. These low values could be outliers or inaccuracies. Further analysis and comparison with reliable sources could help determine their validity.

  • Population of 34: A population value of 34 for an entire country appears questionable. It’s likely an outlier or an error in measurement that requires verification or further investigation.

It’s important to note that these are assumptions based on the provided summary statistics and our domain knowledge. More thorough analysis may be necessary to make accurate conclusions about the data’s quality and identify the best approach for handling these inconsistencies.

To gain a deeper understanding of these values, let’s visualize them using boxplots for each variable.

par(mfrow = c(2, 3))
variables <- c('Adult.Mortality', 'infant.deaths', 'BMI', 'under.five.deaths', 'GDP', 'Population')

for (i in 1:length(variables)) {
  boxplot(LifeExp[, variables[i]], main = variables[i])
}

After examining the mentioned values, it appears that some of them could potentially be outliers, while others are most likely errors. To address these inconsistencies, the following modifications will be made, considering that the values are implausible:

  • Adult mortality rates lower than the 5th percentile will be treated as null.
  • Infant deaths of 0 will be considered null.
  • BMIs below 10 and above 50 will be considered null.
  • Under Five deaths of 0 will be considered null.
    By making these adjustments, we can handle the values that do not align with reasonable expectations.
num_na_before <- sum(colSums(is.na(LifeExp)))
mort_5_percentile <- quantile(LifeExp$Adult.Mortality[!is.na(LifeExp$Adult.Mortality)], probs = 0.05)
LifeExp$Adult.Mortality <- ifelse(LifeExp$Adult.Mortality < mort_5_percentile, NA, LifeExp$Adult.Mortality)
LifeExp$infant.deaths <- ifelse(LifeExp$infant.deaths == 0, NA, LifeExp$infant.deaths)
LifeExp$BMI <- ifelse(LifeExp$BMI < 10 | LifeExp$BMI > 50, NA, LifeExp$BMI)
LifeExp$under.five.deaths <- ifelse(LifeExp$under.five.deaths == 0, NA, LifeExp$under.five.deaths)
cat(num_na_before, sum(colSums(is.na(LifeExp))))
## 2563 5763

As we can see, we increased the number of missing values from 2563 to 5763. There seems to be a significant number of null values in the dataset. For now, it might be helpful to analyze separately just the columns that contain nulls to gain more insights. The following function aims to achieve this. It identifies and presents the columns that have explicit null values, tracks the total count of such columns along with their positions in the dataframe, and provides the count and percentage of nulls for each specified column.

nulls_breakdown <- function(df) {
  df_cols <- colnames(df)
  cols_total_count <- length(df_cols)
  cols_count <- 0
  for (loc in 1:length(df_cols)) {
    col <- df_cols[loc]
    null_count <- sum(is.na(df[[col]]))
    total_count <- length(df[[col]])
    percent_null <- round(null_count / total_count * 100, 2)
    if (null_count > 0) {
      cols_count <- cols_count + 1
      cat("[", loc - 1, "] ", col, " has ", null_count, " null values: ", percent_null, "% null\n", sep = "")
    }
  }
  cols_percent_null <- round(cols_count / cols_total_count * 100, 2)
  cat("Out of ", cols_total_count, " total columns, ", cols_count, " contain null values; ", cols_percent_null, "% columns contain null values.\n", sep = "")
}

nulls_breakdown(LifeExp)
## [3] Life.expectancy has 10 null values: 0.34% null
## [4] Adult.Mortality has 155 null values: 5.28% null
## [5] infant.deaths has 848 null values: 28.86% null
## [6] Alcohol has 194 null values: 6.6% null
## [8] Hepatitis.B has 553 null values: 18.82% null
## [10] BMI has 1456 null values: 49.56% null
## [11] under.five.deaths has 785 null values: 26.72% null
## [12] Polio has 19 null values: 0.65% null
## [13] Total.expenditure has 226 null values: 7.69% null
## [14] Diphtheria has 19 null values: 0.65% null
## [16] GDP has 448 null values: 15.25% null
## [17] Population has 652 null values: 22.19% null
## [18] thinness.10.19.years has 34 null values: 1.16% null
## [19] thinness.5.9.years has 34 null values: 1.16% null
## [20] Income.composition.of.resources has 167 null values: 5.68% null
## [21] Schooling has 163 null values: 5.55% null
## Out of 22 total columns, 16 contain null values; 72.73% columns contain null values.


Dealing with missing values

Given that approximately half of the values in the BMI variable are null, we decided that it would be the best to exclude this variable from the analysis.

LifeExp <- LifeExp[, !(colnames(LifeExp) %in% c('BMI'))]

When dealing with NA values, there are multiple approaches that can be considered:

  • Fill with the mean value: Replace the NA values with the mean value of the respective variable.
  • Dropping:
    • Drop all rows that contain at least one NA value: Remove the rows from the dataset that have any NA values.
    • Drop rows that contain more than 50% NA values: Exclude the rows that have more than 50% NA values, while keeping the remaining rows. The NA values can be filled with the mean value.
  • Interpolation: If the data represents a time series, interpolation techniques can be applied to estimate the missing values based on the existing data points.

Since we are dealing with time series data assorted by country, the best approach would be to interpolate the data by country. However, from a careful examination of the dataframe it can be seen that there are columns that have null values for each year for some countries. Therefore, we resort to imputation by year, as the second best possible method. This involves replacing the null values with the mean value of each respective year. Imputation of each year’s mean is done in the following code snippet:

imputed_data <- list()

for (year in unique(LifeExp$Year)) {
  year_data <- LifeExp[LifeExp$Year == year, ]
  for (col in colnames(year_data)[4:length(colnames(year_data))]) {
    year_data[, col] <- ifelse(is.na(year_data[, col]), mean(year_data[, col], na.rm = TRUE), year_data[, col])
  }
  imputed_data <- append(imputed_data, list(year_data))
}

LifeExp <- bind_rows(imputed_data)
LifeExp_copy <- LifeExp

nulls_breakdown(LifeExp)
## Out of 21 total columns, 0 contain null values; 0% columns contain null values.

As we can see the missing values have been successfully handled using the interpolation method. We can now proceed to address the issue of outliers. Outliers can have a significant impact on data analysis and modeling, and it is important to identify and handle them appropriately.

Outlier analysis

Outlier analysis is an essential step in exploring and understanding life expectancy data. It helps ensure data quality, identify anomalies and patterns, improve statistical analysis, inform policy decisions, and enhance data visualization and reporting.

Outliers increase the error variance and reduce the power of statistical tests. They can cause bias and/or influence estimates. They can also impact the basic assumption of regression as well as other statistical models.

Similar to missing values, to address the presence of outliers in the data, several steps can be taken:

  1. Outlier detection: Identify the outliers in the dataset using appropriate statistical methods or techniques. - Visualization: Create boxplots and histograms to visually inspect the distribution of the data and identify any potential outliers. - Tukey’s method: Apply Tukey’s method or other outlier detection algorithms to determine the presence of outliers based on statistical thresholds or criteria.
  2. Outlier treatment: Decide on the approach for handling outliers. Options include: - Dropping outliers: Remove the outlier observations from the dataset. - Limiting/Winsorizing outliers: Cap the extreme values at a predetermined threshold. - Transforming the data: Apply transformations such as logarithmic, inverse, or square root transformations to reduce the impact of outliers.

Each of these steps aims to identify, assess, and appropriately handle the outliers in the dataset to ensure robust analysis and accurate interpretations.

Outlier detection

For each continuous variable in the dataset, a boxplot will be generated, displaying the median, quartiles, and any potential outliers. Additionally, histograms will be created to visualize the frequency distribution of the variable.

By examining these plots, we can visually inspect the data and determine if there are any data points that deviate significantly from the majority of the observations, indicating the presence of potential outliers.

Visually inspecting the data, it is evident that there are several outliers present in the variables, including the target variable (Life expectancy). To statistically identify outliers, Tukey’s method can be applied. This method defines outliers as values that lie outside 1.5 times the interquartile range (IQR). By calculating the quartiles and IQR for each variable, the upper and lower bounds can be determined, and any values outside these bounds can be classified as outliers.

cont_vars <- colnames(LifeExp)[4:length(colnames(LifeExp))]

outlier_counts <- sapply(LifeExp[cont_vars], function(x) {
  q1 <- quantile(x, 0.25)
  q3 <- quantile(x, 0.75)
  iqr <- q3 - q1
  lower_bound <- q1 - 1.5 * iqr
  upper_bound <- q3 + 1.5 * iqr
  outliers <- x < lower_bound | x > upper_bound
  sum(outliers, na.rm = TRUE)
})

outlier_percent <- outlier_counts / nrow(LifeExp) * 100

outliers_df <- data.frame(OutlierCount = outlier_counts, OutlierPercent = outlier_percent)

kable(outliers_df[order(outliers_df$OutlierPercent, decreasing=TRUE), ], format = "markdown")
OutlierCount OutlierPercent
Measles 542 18.4479238
HIV.AIDS 542 18.4479238
percentage.expenditure 389 13.2402995
GDP 300 10.2110279
Diphtheria 298 10.1429544
Polio 279 9.4962560
Hepatitis.B 222 7.5561607
Population 203 6.9094622
under.five.deaths 142 4.8332199
infant.deaths 135 4.5949626
Income.composition.of.resources 130 4.4247788
thinness.10.19.years 100 3.4036760
thinness.5.9.years 99 3.3696392
Adult.Mortality 97 3.3015657
Schooling 77 2.6208305
Total.expenditure 51 1.7358747
Life.expectancy 17 0.5786249
Alcohol 3 0.1021103

There seem to be a considerable number of outliers present in this dataset. Now that they have been identified, a question arises: What course of action should be taken regarding them?

Dealing with Outliers

There are several approaches to handling outliers in a dataset, and the typical options are as follows:

  1. Discard outliers (preferably avoided to retain maximum information):
    • This involves removing the data points that are considered outliers.
  2. Apply boundaries (Winsorization):
    • Set upper and/or lower limits for the values, effectively capping extreme values without removing them entirely.
  3. Data transformation:
    • Utilize mathematical transformations such as logarithmic, inverse, square root, etc.
    • Advantages: Can normalize the data and potentially eliminate outliers.
    • Disadvantages: Cannot be applied to variables containing values of zero or below, as it may lead to undefined results.

We attempted to handle outliers using the last approach, which involved applying square root or logarithmic transformations to the LifeExp dataset. However, we found that these methods did not improve the situation. Specifically, when using the log transformation, the number of outliers remained the same and when employing the sqrt transformation, the number of outliers actually increased.

Given that each variable in the dataset exhibits a unique number of outliers and these outliers are distributed on different sides of the data, the most suitable approach would likely involve Winsorizing (limiting) the values for each variable individually until no outliers remain. The provided function bellow enables this process by iterating through each variable and allowing the specification of lower and/or upper limits for Winsorization. By default, the function generates two boxplots side by side for each variable, depicting the original data and the Winsorized data, respectively. Once a satisfactory limit is determined through visual analysis, the Winsorized data is saved in the wins_dict dictionary for convenient future access.

LifeExp <- LifeExp_copy
test_wins <- function(col, lower_limit = 0, upper_limit = 0, show_plot = TRUE) {
  LifeExp_original <- LifeExp[[col]]
  q_low <- quantile(LifeExp[[col]], lower_limit)
  q_up <- quantile(LifeExp[[col]], 1 - upper_limit)
  LifeExp[[col]] <<- pmin(pmax(LifeExp[[col]], q_low), q_up)
  # <<- Allows us to modify variables outside of the local scope of a function.
  
  if (show_plot) {
    ylim <- range(LifeExp_original, na.rm = TRUE)
    par(mfrow = c(1, 2))
    boxplot(LifeExp_original, main = paste0("original\n ", col), ylim = ylim)
    boxplot(LifeExp[[col]], main = paste0("wins=(", lower_limit, ",", upper_limit, ")\n", col), ylim = ylim)
  }
}

test_wins(cont_vars[1], lower_limit = 0.01, show_plot = FALSE)
test_wins(cont_vars[2], upper_limit = 0.04, show_plot = FALSE)
test_wins(cont_vars[3], upper_limit = 0.05, show_plot = FALSE)
test_wins(cont_vars[4], upper_limit = 0.0025, show_plot = FALSE)
test_wins(cont_vars[5], upper_limit = 0.135, show_plot = FALSE)
test_wins(cont_vars[6], lower_limit = 0.1, show_plot = FALSE)
test_wins(cont_vars[7], upper_limit = 0.19, show_plot = FALSE)
test_wins(cont_vars[8], upper_limit = 0.05, show_plot = FALSE)
test_wins(cont_vars[9], lower_limit = 0.1, show_plot = FALSE)
test_wins(cont_vars[10], upper_limit = 0.02, show_plot = FALSE)
test_wins(cont_vars[11], lower_limit = 0.105, show_plot = FALSE)
test_wins(cont_vars[12], upper_limit = 0.185, show_plot = FALSE)
test_wins(cont_vars[13], upper_limit = 0.105, show_plot = FALSE)
test_wins(cont_vars[14], upper_limit = 0.07, show_plot = FALSE)
test_wins(cont_vars[15], upper_limit = 0.035, show_plot = FALSE)
test_wins(cont_vars[16], upper_limit = 0.035, show_plot = FALSE)
test_wins(cont_vars[17], lower_limit = 0.05, show_plot = FALSE)
test_wins(cont_vars[18], lower_limit = 0.025, upper_limit = 0.005, show_plot = FALSE)

After successfully Winsorizing our data, let’s examine how the process has influenced the distribution of values for the modified variables. To simplify the visualization, we have selected four variables and present their boxplots.

Let’s also compare the distributions before and after Winsorization for some of our variables. We can observe that the top two graphs Life Expectancy and Schooling (along with Alcohol, Hepatitis.B, and Total.expenditure, which we decided not to show for simplicity), maintained the same distribution even after Winsorization. On the other hand, the bottom two graphs GDP and Polio (along with infant.deaths, percentage.expenditure, Measles, and under.five.deaths), exhibited slight changes after Winsorization.

p1 <- ggplot() +
  geom_density(data = LifeExp_copy, aes(x = Life.expectancy), color = 5, linewidth = 1.2) +
  geom_density(data = LifeExp, aes(x = Life.expectancy), color = 2, linewidth = 1, linetype = "twodash") +
  xlab("Life Expectancy Winsorization")

p2 <- ggplot() +
  geom_density(data = LifeExp_copy, aes(x = Schooling), color = 5, linewidth = 1.2) +
  geom_density(data = LifeExp, aes(x = Schooling), color = 2, linewidth = 1, linetype = "twodash") +
  xlab("Schooling Winsorization")

p3 <- ggplot() +
  geom_density(data = LifeExp_copy, aes(x = GDP), color = 5, linewidth = 1.2) +
  geom_density(data = LifeExp, aes(x = GDP), color = 2, linewidth = 1, linetype = "twodash") +
  xlab("GDP Winsorization")

p4 <- ggplot() +
  geom_density(data = LifeExp_copy, aes(x = Polio), color = 5, linewidth = 1.2) +
  geom_density(data = LifeExp, aes(x = Polio), color = 2, linewidth = 1, linetype = "twodash") +
  xlab("Polio Winsorization")

grid.arrange(p1, p2, p3, p4, ncol = 2)

Exploratory Data Analysis

Exploratory Data Analysis (EDA) is a crucial process that involves conducting preliminary investigations on data, utilizing summary statistics and visual representations. Its primary objective is to gain a comprehensive understanding of the data’s quality and characteristics before delving into formal statistical modeling.

EDA serves as a means to extract valuable insights from the data by:

In the following part we will be answering some questions related to our dataset.

Relevant Questions


Q1. Can we say that Developed countries have more average life expectancy than Developing countries?

ggplot(LifeExp, aes(x = Status, fill = Status)) +
  geom_bar(alpha = 0.6) +
  scale_fill_manual(values = c(2, 5)) +
  labs(title = "Status of Country", x = "Status", y = "Count") +
  theme(axis.text = element_text(size = 8),
        axis.title = element_text(size = 8),
        axis.text.y = element_text(size = 8),
        axis.title.y = element_text(size = 8))

ggplot(LifeExp, aes(x=Life.expectancy, fill=Status)) +
    geom_density(alpha=.5) +
    labs(title  = "Life Expectancy by Status", x ="Life Expectancy", y="Density") +
  scale_fill_manual(values = c(2, 5))

Due to our lack of knowledge regarding the population variance, we will employ a two-sample T-Test instead of a two-sample Z-Test in order to assess the equality of the two means. Prior to conducting the T-Test, it is necessary to determine whether the variances of the two populations are equal. To accomplish this, we will employ an F-Test.

To start, we will filter and group the data by country, allowing us to calculate the average life expectancy for each country over the span of 16 years.

Developing_X <- aggregate(Life.expectancy ~ Country, data = LifeExp %>% filter (Status == "Developing"), FUN = mean)
Developed_Y <- aggregate(Life.expectancy ~ Country, data = LifeExp %>% filter (Status == "Developed"), FUN = mean)
kable(Developing_X[1:5, ], format = "markdown")
Country Life.expectancy
Afghanistan 58.19375
Albania 75.15625
Algeria 73.61875
Angola 49.03750
Antigua and Barbuda 75.05625
kable(Developed_Y[1:5, ], format = "markdown")
Country Life.expectancy
Australia 81.81250
Austria 81.48125
Belgium 80.68125
Bulgaria 72.85000
Croatia 76.11875
var.test(Developed_Y$Life.expectancy,Developing_X$Life.expectancy)
## 
##  F test to compare two variances
## 
## data:  Developed_Y$Life.expectancy and Developing_X$Life.expectancy
## F = 0.14793, num df = 31, denom df = 160, p-value = 4.472e-08
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##  0.08968881 0.27049424
## sample estimates:
## ratio of variances 
##          0.1479263

The observed p-value is less than alpha (0.05 by default). Hence we reject the null hypothesis and accept the alternate statement that the variance of two populations is not equal.

t.test(Developed_Y$Life.expectancy,Developing_X$Life.expectancy, alternative = "greater", var.equal = FALSE)
## 
##  Welch Two Sample t-test
## 
## data:  Developed_Y$Life.expectancy and Developing_X$Life.expectancy
## t = 13.541, df = 126.15, p-value < 2.2e-16
## alternative hypothesis: true difference in means is greater than 0
## 95 percent confidence interval:
##  10.36548      Inf
## sample estimates:
## mean of x mean of y 
##  79.19785  67.38706


The final conclusion is that the null hypothesis is rejected against the alternative hypothesis as the p-value < 0.05. Hence we conclude that life expectancy in developed countries is more than that of developing countries with 95% confidence.


Q2. Is there a statistically significant relationship between the average number of schooling years and life expectancy?

Education creates awareness about healthy living. For example vaccine hesitancy during the COVID-19 period, especially among the rural population, has highlighted the importance of education. Also educated choices regarding lifestyle and personal health is also influenced by the education level.

We will be using the ANOVA test to test the significance of education on life expectancy. Here we will categorize countries into one of the three categories: ‘Low’ (≤8), ‘Medium’ (>8 and ≤12) and ‘High’ (>12) depending upon the country’s average schooling years.

Firstly, we will group the data by country and find the average life expectancy and schooling for each country over the 16 years.

Schooling_X <- aggregate(cbind(Life.expectancy, Schooling) ~ Country, data = LifeExp, FUN = mean)

kable(Schooling_X[1:5, ], format = "markdown")
Country Life.expectancy Schooling
Afghanistan 58.19375 8.21250
Albania 75.15625 12.13750
Algeria 73.61875 12.71250
Angola 49.03750 8.06250
Antigua and Barbuda 75.05625 10.68125
x <- Schooling_X %>% filter(Schooling < 8.0)
y <- Schooling_X %>% filter(Schooling > 8.0 & Schooling <= 12.0 )
z <- Schooling_X %>% filter(Schooling < 12.0)

y1 <- data.frame(Life.expectancy = x$Life.expectancy)
y1$Education = 'Low'
y2 <- data.frame(Life.expectancy = y$Life.expectancy)
y2$Education = 'Middle'
y3 <- data.frame(Life.expectancy = z$Life.expectancy)
y3$Education = 'High'
Schooling_Y <- data.frame(rbind(y1,y2,y3))
kable(Schooling_Y[1:5, ], format = "markdown")
Life.expectancy Education
55.64375 Low
55.53750 Low
48.51250 Low
50.38750 Low
60.75625 Low

Let’s apply the ANOVA test.

Anova_Results <- aov(Life.expectancy ~ Education, data = Schooling_Y)
summary(Anova_Results)
##              Df Sum Sq Mean Sq F value Pr(>F)  
## Education     2    391  195.33   2.977 0.0535 .
## Residuals   176  11549   65.62                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1


From the ANOVA summary, we can see that the p-value is slightly above the commonly used threshold of 0.05. Therefore, there is weak evidence to suggest that the “Education” factor has a statistically significant effect on the response variable. However, since the p-value is close to 0.05, it is on the borderline of significance.


Q3. Check if countries that spend a higher proportion of their resources on human development have a higher life expectancy?

The term “Income composition of resources” refers to a component of the Human Development Index (HDI), which is a measure used to assess the overall development and well-being of a country’s population. The Income composition of resources specifically focuses on income-related indicators and their contribution to human development.

In the context of the HDI, the Income composition of resources index is a numerical value that ranges from 0 to 1. It reflects the extent to which a country’s income distribution contributes to overall human development.

A higher value of the Income composition of resources index indicates a more equitable distribution of income, where a larger proportion of the population has access to resources and opportunities for development. This suggests that income is shared more evenly among individuals within the country.

Conversely, a lower value of the index indicates a more unequal income distribution, with a smaller proportion of the population having access to resources and opportunities for development. This suggests that income is concentrated in the hands of a smaller segment of the population.

life_expectancy_vs_incomecomp <- ggplot(LifeExp, aes(Income.composition.of.resources, Life.expectancy)) + geom_jitter(color = 2, alpha = 0.3)
life_expectancy_vs_incomecomp

By this scatter plot we can see that The Income composition of resources and their contribution to human development positively influences the Life Expectancy but let’s see the correlation also with the Pearson correlation coefficient.

in_comp_res <-aggregate(cbind(Life.expectancy, Income.composition.of.resources) ~ Country, data = LifeExp, FUN = mean)
kable(in_comp_res[1:5, ], format = "markdown")
Country Life.expectancy Income.composition.of.resources
Afghanistan 58.19375 0.415375
Albania 75.15625 0.709875
Algeria 73.61875 0.694875
Angola 49.03750 0.458375
Antigua and Barbuda 75.05625 0.597750
ggscatter(in_comp_res, x = "Income.composition.of.resources", y = "Life.expectancy", add = "reg.line", conf.int = TRUE, cor.coef = TRUE, cor.method = "pearson", xlab = "HDI (Income composition of resources)", ylab = "Life Expectancy")

cor.test(in_comp_res$Income.composition.of.resources,in_comp_res$Life.expectancy )
## 
##  Pearson's product-moment correlation
## 
## data:  in_comp_res$Income.composition.of.resources and in_comp_res$Life.expectancy
## t = 21.191, df = 191, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.7898063 0.8752980
## sample estimates:
##       cor 
## 0.8376092


A correlation coefficient of 0.8376092 indicates a strong positive linear relationship between the variables being correlated, therefore the countries with higher income composition of resources for human development have better life expectancy. Also the regression line explains 84% of variance in the data. Thus countries should spend more on the human development to achieve higher life expectancy.


Q4. Italian Government has claimed that they have spent an average of around 8.41% of their total expenditure on health for the year 2000–2015. Can we test their claim?

We will use a One-Sample t-test and not a One-sample Z-test to test the claim since we have no information about the population variance.

Firstly, we will use a filter to obtain the data for ‘Italy’ and the Total.expenditure column as it denotes % of government expenditure on health out of total government expenditure.

Italy_X <- LifeExp %>% filter (Country == "Italy")
Italy_Y <- Italy_X$Total.expenditure

t.test(Italy_Y, mu = 8.41, alternative = "two.sided")
## 
##  One Sample t-test
## 
## data:  Italy_Y
## t = 1.5893, df = 15, p-value = 0.1328
## alternative hypothesis: true mean is not equal to 8.41
## 95 percent confidence interval:
##  8.320883 9.021617
## sample estimates:
## mean of x 
##   8.67125

We decided to also test India’s claim that they have spent an average of around 5.2% of their total expenditure on health for the year 2000–2015.

India_X <- LifeExp %>% filter (Country == "India")
India_Y <- India_X$Total.expenditure

t.test(India_Y, mu = 5.2, alternative = "two.sided")
## 
##  One Sample t-test
## 
## data:  India_Y
## t = -3.881, df = 15, p-value = 0.001477
## alternative hypothesis: true mean is not equal to 5.2
## 95 percent confidence interval:
##  4.160101 4.897399
## sample estimates:
## mean of x 
##   4.52875


Since 5.2 doesn’t lie in the 95% confidence interval range [4.232587, 4.689913], we can say that the sample doesn’t give enough evidence to accept the claim made by the Indian Government. On the other hand Italy’s claim of 8.4 lies in the 95% CI range of [8.320883, 9.021617].


Q5. What are our observations when comparing the proportions of the number of infant deaths and the number of under-five deaths.

We will conduct a two-proportions z-test to compare the two independent proportions.

Mort_X <- aggregate(cbind(Life.expectancy, infant.deaths, under.five.deaths) ~ Country, data = LifeExp, FUN = mean)
kable(Mort_X[1:5, ], format = "markdown")
Country Life.expectancy infant.deaths under.five.deaths
Afghanistan 58.19375 78.25000 107.56250
Albania 75.15625 12.17719 3.74031
Algeria 73.61875 20.31250 23.50000
Angola 49.03750 83.22500 125.87500
Antigua and Barbuda 75.05625 42.47885 57.22625

infant.deaths column represents the number of infant deaths per 1000 population and similarly, under.five.deaths represents the number of under-five deaths per 1000 population. We have to use the average value of infant or under five deaths of all the countries and take its ceiling value.

mortx <- ceiling(mean(Mort_X$infant.deaths))
morty <- ceiling(mean(Mort_X$under.five.deaths))
argx <- c(mortx,morty)
argy <- c(1000,1000)

prop.test(argx,argy, correct = FALSE)
## 
##  2-sample test for equality of proportions without continuity correction
## 
## data:  argx out of argy
## X-squared = 1.8163, df = 1, p-value = 0.1778
## alternative hypothesis: two.sided
## 95 percent confidence interval:
##  -0.026990111  0.004990111
## sample estimates:
## prop 1 prop 2 
##  0.029  0.040


Since the p- value is greater than 0.05, we see no significant difference in the two independent proportions.The data does not provide sufficient evidence to conclude that there is a meaningful or significant difference between the rates of infant deaths and under-five deaths.


Q6. What is the correlation of Life expectancy with Alcohol drinking habits?

Let’s use the Person correlation test.

Alc_X <- aggregate(cbind(Life.expectancy, Alcohol) ~ Country, data = LifeExp, FUN = mean) 
kable(Alc_X[1:5, ], format = "markdown")
Country Life.expectancy Alcohol
Afghanistan 58.19375 0.0143750
Albania 75.15625 4.8487500
Algeria 73.61875 0.7117708
Angola 49.03750 5.7123958
Antigua and Barbuda 75.05625 7.7830208
ggscatter(Alc_X, x = "Alcohol", y = "Life.expectancy", add = "reg.line", conf.int = TRUE, cor.coef = TRUE, cor.method = "pearson", xlab = "Alcohol consumption (in litres of pure alcohol", ylab = "Life Expectancy")

cor.test(Alc_X$Alcohol, Alc_X$Life.expectancy)
## 
##  Pearson's product-moment correlation
## 
## data:  Alc_X$Alcohol and Alc_X$Life.expectancy
## t = 6.6274, df = 191, p-value = 3.397e-10
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.3100919 0.5406181
## sample estimates:
##       cor 
## 0.4323943


The results indicate a statistically significant moderate positive linear relationship (correlation coefficient = 0.43) between alcohol consumption and life expectancy. This suggests that higher levels of alcohol consumption are associated with increased life expectancy, within the range of data analyzed.

However, before jumping to conclusions we need to also take in consideration other factors.

Developed countries tend to have higher levels of alcohol consumption compared to developing countries. This can be attributed to various factors such as higher income levels, greater access to alcohol, more established alcohol industries, and different cultural norms surrounding alcohol. This was also our conclusion from our previous analysis where we concluded that life expectancy in developed countries is more than that of developing countries.

Higher GDP at Developed countries can influence alcohol consumption patterns to some extent. As countries experience economic growth and an increase in GDP, there is often an associated rise in income levels and discretionary spending power. This can lead to increased alcohol consumption.

We can visualize these correlations on the following graphs.

ggplot(LifeExp, aes(x=Alcohol, fill=Status)) +
    geom_density(alpha=.5) +
    labs(title  = "Alcohol consumption by Status", x ="Alcohol", y="Density") +
  scale_fill_manual(values = c(2, 5))

ggplot(LifeExp, aes(x=log(GDP), fill=Status)) +
    geom_density(alpha=.5) +
    labs(title  = "GDP by Status", x ="GDP", y="Density") +
  scale_fill_manual(values = c(2, 5))

life_expectancy_vs_GDP  <- ggplot(LifeExp, aes(GDP, Life.expectancy)) + geom_jitter(color = 2, alpha = 0.3)
life_expectancy_vs_GDP 

Q7. Correlation between Life Expectancy and Immunization.

In COVID-19 times we all have seen the importance of immunization against the virus to increase life expectancy. Can we show that immunization against Polio and Diphtheria has a significant effect on life expectancy?

We will use a two-way ANOVA test. Here we will divide the countries into two categories for both Polio and Diphtheria. Countries having values of % immunization coverage for one-year-old greater than the median value will get category ‘High’ else ‘Low’.

Immun_X <- aggregate(cbind(Life.expectancy, Polio, Diphtheria) ~ Country, data = LifeExp, FUN = mean)
kable(Immun_X[1:5, ], format = "markdown")
Country Life.expectancy Polio Diphtheria
Afghanistan 58.19375 58.6875 59.8750
Albania 75.15625 98.1250 98.0625
Algeria 73.61875 91.7500 91.8750
Angola 49.03750 61.4375 61.6250
Antigua and Barbuda 75.05625 96.9375 98.3125
xx_1 <- Immun_X %>% filter(Polio <= 85)
xx_2 <- Immun_X %>% filter(Polio > 85)
yy_1 <- Immun_X %>% filter(Diphtheria <= 85)
yy_2 <- Immun_X %>% filter(Diphtheria > 85)

zz1 <- data.frame(Life.expectancy = xx_1$Life.expectancy, Country = xx_1$Country)
zz1$Polio = 'Low'
zz2 <- data.frame(Life.expectancy = xx_2$Life.expectancy, Country = xx_2$Country)
zz2$Polio = 'High'
zz3 <- data.frame(Life.expectancy = yy_1$Life.expectancy, Country = yy_1$Country)
zz3$Diphtheria = 'Low'
zz4 <- data.frame(Life.expectancy = yy_2$Life.expectancy, Country = yy_2$Country)
zz4$Diphtheria = 'High'
Immun_Polio <- data.frame(rbind(zz1,zz2))
kable(Immun_Polio[1:5, ], format = "markdown")
Life.expectancy Country Polio
58.19375 Afghanistan Low
49.03750 Angola Low
70.73125 Azerbaijan Low
57.56875 Benin Low
67.70625 Bolivia (Plurinational State of) Low
Immun_Diphtheria <- data.frame(rbind(zz3,zz4))
kable(Immun_Diphtheria[1:5, ], format = "markdown")
Life.expectancy Country Diphtheria
58.19375 Afghanistan Low
49.03750 Angola Low
70.73125 Azerbaijan Low
57.56875 Benin Low
75.96875 Bosnia and Herzegovina Low
Immun_Y <- merge(Immun_Polio, Immun_Diphtheria, by = "Country")
kable(Immun_Y[1:5, ], format = "markdown")
Country Life.expectancy.x Polio Life.expectancy.y Diphtheria
Afghanistan 58.19375 Low 58.19375 Low
Albania 75.15625 High 75.15625 High
Algeria 73.61875 High 73.61875 High
Angola 49.03750 Low 49.03750 Low
Antigua and Barbuda 75.05625 High 75.05625 High
Anova_Results_1 <- aov(Life.expectancy.x ~ Polio + Diphtheria, data = Immun_Y)
summary(Anova_Results_1)
##              Df Sum Sq Mean Sq F value   Pr(>F)    
## Polio         1   5597    5597  117.46  < 2e-16 ***
## Diphtheria    1    631     631   13.25 0.000352 ***
## Residuals   190   9053      48                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1


The p-value for both Polio and Diphtheria immunization coverage for one-year old is less than 0.05, hence we can say that immunization has a significant impact on the life expectancy.


life_expectancy_vs_Diphtheria  <- ggplot(LifeExp, aes(Diphtheria, Life.expectancy)) + geom_jitter(color = 5, alpha = 0.3)
                              
life_expectancy_vs_Polio  <- ggplot(LifeExp, aes(Polio, Life.expectancy)) + geom_jitter(color = 2, alpha = 0.3)

p <- plot_grid(life_expectancy_vs_Diphtheria, life_expectancy_vs_Polio) 
title <- ggdraw() + draw_label("Correlation between Immunizations and life expectancy", fontface='bold')
plot_grid(title,p, ncol=1)

Constructing Correlation Matrix

We can get a comprehensive view of the relationships between multiple variables by calculating pairwise correlations between them. Our heat correlation map is a visual representation of a correlation matrix that uses color gradients to display the strength and direction of relationships between variables. It provides a concise and intuitive way to identify patterns and assess the strength of correlations.

The Darker shades of blue indicate of stronger correlation between variables and on the contrary the lighter shades indicate weaker bonds.

# Compute the correlation matrix
numeric_vars <- LifeExp[, sapply(LifeExp, is.numeric)]
cor_matrix <- cor(numeric_vars)

# Plot the correlation matrix
color_palette = brewer.pal(11, "Blues")
corrplot::corrplot(cor_matrix, method = "color", type = "upper", tl.cex = 0.7, col = color_palette, tl.col = "black" )

Network plot

cor_matrix %>% corrr::network_plot(min_cor = .3)

In order to also maybe closely visualize the connection and direction of our variables we constructed a Network plot. From this plot we can make some conclusions but because there are a lot of variables included in the network plot visualization, it is not intuitive, therefore we decided to also make a star graph with the target variable Life.expectancy that will also be useful later for Linear Regression.

We can see that the bolder lines connecting the Life Expectancy Variable with the other Independent Variables indicate stronger bonds, as well as the size of the circles.

Star Graph

# Subset the relevant variables for the star graph

cor_matrix_1 <- cor(numeric_vars, use = "pairwise.complete.obs")
cor_values <- cor_matrix_1[1, -1]

graph <- graph.star(n = length(cor_values) + 1, mode = "undirected")
V(graph)$name <- colnames(numeric_vars)
V(graph)$size <- c(5, 10 + 40 * abs(cor_values))
E(graph)$width <- abs(cor_values) * 5
layout <- layout.star(graph)
plot_size <- c(15, 15)


plot(graph, layout = layout, edge.arrow.size = 0.5, vertex.size = V(graph)$size,
     vertex.label.color = "black", vertex.label.font = 2, edge.width = E(graph)$width,
     xlim = c(-1, 1), ylim = c(-1, 1), asp = 1, frame.plot = FALSE, main = "Correlation Graph",
     vertex.label.dist = 1.5, vertex.label.cex = 0.8, cex = 0.8, cex.main = 1.2, cex.lab = 0.9,
     cex.axis = 0.8, vertex.color = "lightblue", vertex.frame.color = "black", vertex.shape = "circle",
     vertex.label.family = "sans", vertex.label.just = c(0.5, 0.5), vertex.label.degree = 0,
     bg = "white", pch = 21, lty = 1, col = "black", bg = "white", rescale = FALSE,
     width = plot_size[1], height = plot_size[2])

Linear Regression

After completing the data cleaning process and exploring and engineering features, we can now move on to the main phase of this project: making predictions using linear regression. Initially, we will examine the effectiveness of a simple linear regressor (using only one feature). Then, we will progress to employing all the features through multiple linear regression or selecting a subset of features using appropriate techniques for feature selection.

Based on the exploratory data analysis (EDA), it is evident that our target variable, “Life expectancy,” demonstrates very high correlation with “Adult mortality.” However, upon examining the scatter plot, it appears that this variable may not be suitable for linear regression. Therefore, we proceed by choosing the another variable, namely “Income.composition.of.resources”, which is actually the most correlated with our target variable. By observing the scatter plot for this particular variable, we can notice a linear trend.

Before we start, the question of whether to perform feature scaling arises. Feature scaling is not an absolute necessity for linear regression. The algorithm calculates the coefficients for each feature by computing the differences between the feature values and their mean. Therefore, feature scaling does not have a direct impact on the coefficients obtained from the linear regression model.

However, considering the benefits of feature scaling, such as ensuring consistent and meaningful comparisons, and the fact that it is a mandatory step when using regularization techniques, we have chosen to scale the data at the outset.

Afterward, to ensure unbiased evaluations, we proceed by randomly partitioning our dataset into separate training and test sets. For models that require cross-validation, we will utilize a portion of the training set as a validation set.

test <- LifeExp$Year %in% c('2015', '2014', '2013')

df_test <- LifeExp[test, ]
df_train <- LifeExp[!test, ]

test <- subset(df_test, select = -c(Year, Country))
train <- subset(df_train, select = -c(Year, Country))

cat("Train size: ", nrow(train)/nrow(LifeExp)*100, "\nTest size: ", nrow(test)/nrow(LifeExp)*100)
## Train size:  80.97345 
## Test size:  19.02655
Y_colname <- "Life.expectancy"
X_colnames <- colnames(test)[colnames(test) != Y_colname]
df_metrics_regression <- data.frame(Model_name = character(),
                                    Adj_R2 = numeric(),
                                    AIC = numeric(),
                                    BIC = numeric(),
                                    n_coef = numeric(),
                                    MSE = numeric(),
                                    RMSE = numeric(),
                                    n_RMSE_sd = numeric(),
                                    n_RMSE_range = numeric())
colnames(df_metrics_regression) <- c("Model_name", "Adj_R2", "AIC", "BIC", "n_coef", "MSE", "RMSE", "n_RMSE_sd", "n_RMSE_range")

Simple linear regression

The linear regression equation is given by: \[ Y = \beta_0 + \beta_1 \cdot x + \varepsilon \]
where \(\beta_0\) represents the intercept, \(\beta_1\) represents the coefficient for the chosen feature “Income.composition.of.resources” and \(\varepsilon\) represents a random error.

simple_lm <- lm(Life.expectancy ~ Income.composition.of.resources, data = train)
summary(simple_lm)
## 
## Call:
## lm(formula = Life.expectancy ~ Income.composition.of.resources, 
##     data = train)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -19.6600  -2.1212   0.1383   2.5980  24.8166 
## 
## Coefficients:
##                                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                      41.6751     0.4631   89.98   <2e-16 ***
## Income.composition.of.resources  42.9837     0.7090   60.63   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 6.047 on 2377 degrees of freedom
## Multiple R-squared:  0.6073, Adjusted R-squared:  0.6071 
## F-statistic:  3676 on 1 and 2377 DF,  p-value: < 2.2e-16

The analysis reveals that the variable “Income.composition.of.resources” has a moderate-to-high level of explanatory power, as indicated by an R-squared value of 0.6071. This means that approximately 60.71% of the variability in life expectancy can be attributed to this variable.

Both the intercept and the coefficient associated with “Income.composition.of.resources” are highly significant, as indicated by the p-values being less than 0.05. The F-statistic also supports this finding, with a value of 3676 and an extremely low p-value, suggesting that the observed relationship is not due to chance.

The formula for the regression line can be expressed as follows:
Life.Expectancy = 42.9837 + 41.6751 * Income.composition.of.resources
and it is visualized bellow.

ggplot(train, aes(x = Income.composition.of.resources, y = Life.expectancy)) +
  geom_jitter(color = 5, size = 2, alpha = 0.4) +
  labs(x = "Income composition of resources", y = "Life expectancy") +
  theme(axis.text = element_text(size = 8),
        axis.title.x = element_text(size = 12),
        axis.title.y = element_text(size = 12)) +
  geom_abline(slope = coef(simple_lm)["Income.composition.of.resources"],
              intercept = coef(simple_lm)["(Intercept)"],
              color = 2, linetype = "solid", linewidth = 1.2)

That’s not the whole picture though. Residuals could show how poorly a model represents data. Residuals are leftover of the outcome variable after fitting a model (predictors) to data, and they could reveal patterns in the data unexplained by the fitted model. Using this information, not only we can check if linear regression assumptions are met, but we can improve our model in an exploratory way.

Let’s now have a look at the diagnostic plots, in order to check whether Linear regression assumptions are met. These assumptions include:

  1. Linearity: There should be a linear relationship between the predictors (x) and the outcome (y). This implies that the relationship between the variables can be adequately captured by a straight line or a linear combination of predictors.

  2. Homoscedasticity: The residual errors should have a constant variance across the range of predicted values. This assumption implies that the spread of residuals is consistent, regardless of the predicted values.

  3. Independence of error terms: The residual errors should be independent of each other and independent of the predictor variables (x). Independence of residuals assumes that the errors are not influenced by any patterns or structures in the data that are not captured by the predictor variables.

  4. Error term with mean zero: The residual errors (the differences between the observed outcome and the predicted outcome) should have a mean value of zero. This assumption assumes that, on average, the model is unbiased in its predictions.

It is important to assess these assumptions before relying on the results of a linear regression model to ensure the validity of the model and the reliability of the inferences drawn from it.

par(mfrow = c(2, 2))
plot(simple_lm)

Residuals vs Fitted

This plot shows if residuals have non-linear patterns. There could be a non-linear relationship between predictor variables and the outcome variable, and the pattern could show up in this plot if the model doesn’t capture the non-linear relationship. In our case, we find almost equally spread residuals around a horizontal line without distinct patterns. So, this is a good indication that we don’t have non-linear relationships.

Normal Q-Q

This plot shows if residuals are normally distributed. Do residuals follow a straight line well or do they deviate severely? Thus for small sample sizes, it can’t be assumed that the estimator \(\hat{\beta}\) isn’t Gaussian either, meaning the standard confidence intervals and significance tests are invalid. Our plot shows many points lying on the dotted line, however the rightmost and leftmost points are deviating from the line, suggesting slight right and left skewness.

Scale-Location

It’s is also called a Spread-Location plot. This plot shows if residuals are spread equally along the ranges of predictors. This is how we can check the assumption of equal variance (homoscedasticity). It’s good if we see a horizontal line with equally (randomly) spread points. In our case the red line deviates a little from horizontal, showing small presence of heteroskedasticity.

Residuals vs Leverage

Leverage refers to the extent to which the coefficients in the regression model would change if a particular observation was removed from the dataset. Here, we watch out for outlying values at the upper right corner or at the lower right corner. Those spots are the places where cases can be influential against a regression line. When cases are outside of the dashed lines (meaning they have high “Cook’s distance” scores), the cases are influential to the regression results. The regression results will be altered if we exclude those cases.
We can observe that there are not any influential points in our regression model.

By the previous analysis, we can conclude that our data is behaving linearly as we expected, but it does show a degree of heteroscedasticity.

pred <- predict(simple_lm, newdata = test)
rmse <- sqrt(mean((test$Life.expectancy - pred)^2))
normalized_rmse_std <- sqrt(mean((pred - test$Life.expectancy)^2)) / sd(test$Life.expectancy)
normalized_rmse_range <- sqrt(mean((pred - test$Life.expectancy)^2)) / diff(range(test$Life.expectancy))
cat("RMSE =", round(rmse, 3))
## RMSE = 4.39
cat("\nNormalized RMSE (sd)    =", round(normalized_rmse_std, 3))
## 
## Normalized RMSE (sd)    = 0.53
cat("\nNormalized RMSE (range) =", round(normalized_rmse_range, 3))
## 
## Normalized RMSE (range) = 0.107

The normalized RMSE (sd) is 0.53, indicating that the model’s predictions have an error of around 53% of the standard deviation of the target variable. The normalized RMSE (range) is 0.107, suggesting that the model’s predictions have an error of approximately 10.7% of the range of the target variable.

Multiple linear regression

In this section we will train a regression model using multiple features. As part of the process we will select the most important features for the model using backward and forward selection and also check how well it performs on a test set.

full_lm <- lm(train[,Y_colname] ~ ., data = train[, X_colnames])
summary(full_lm)
## 
## Call:
## lm(formula = train[, Y_colname] ~ ., data = train[, X_colnames])
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -15.501  -2.142   0.054   2.097  14.789 
## 
## Coefficients:
##                                   Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                      6.289e+01  8.827e-01  71.246  < 2e-16 ***
## StatusDeveloping                -1.559e+00  2.815e-01  -5.538 3.40e-08 ***
## Adult.Mortality                 -1.631e-02  8.921e-04 -18.286  < 2e-16 ***
## infant.deaths                    1.327e-04  1.231e-02   0.011  0.99140    
## Alcohol                          4.322e-02  2.751e-02   1.571  0.11632    
## percentage.expenditure           2.052e-03  3.343e-04   6.137 9.82e-10 ***
## Hepatitis.B                     -3.905e-02  7.169e-03  -5.447 5.64e-08 ***
## Measles                         -1.206e-03  2.740e-04  -4.402 1.12e-05 ***
## under.five.deaths               -1.238e-02  8.604e-03  -1.439  0.15024    
## Polio                            2.736e-02  9.939e-03   2.753  0.00595 ** 
## Total.expenditure                4.768e-02  3.651e-02   1.306  0.19165    
## Diphtheria                       6.145e-02  1.023e-02   6.006 2.19e-09 ***
## HIV.AIDS                        -5.658e+00  1.626e-01 -34.797  < 2e-16 ***
## GDP                             -1.102e-05  2.357e-05  -0.468  0.64008    
## Population                       1.119e-08  9.796e-09   1.142  0.25363    
## thinness.10.19.years             1.066e-01  5.833e-02   1.827  0.06782 .  
## thinness.5.9.years              -2.276e-01  5.734e-02  -3.969 7.43e-05 ***
## Income.composition.of.resources  1.223e+01  9.915e-01  12.331  < 2e-16 ***
## Schooling                        1.086e-01  5.413e-02   2.006  0.04502 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 3.743 on 2360 degrees of freedom
## Multiple R-squared:  0.8506, Adjusted R-squared:  0.8495 
## F-statistic: 746.5 on 18 and 2360 DF,  p-value: < 2.2e-16

The summary indicates that the residuals are symmetrically distributed, with a median almost equal to 0 (0.054). We will examine the residuals more closely later. The full Linear regression model explains 84.95% of the variance associated with the response variable. The F-statistic is 746.5 (>> 1), and its p-value is nearly 0, providing clear evidence against the null hypothesis that all coefficients are equal to zero. This means that at least one variable is associated with the response. The p-values of the predictor variables allow us to determine their significance. Variables with lower p-values are more significant in relation to the response. Notably, features such as infant.deaths, Alcohol, under.five.deaths, and GDP are not statistically significant in our model.

To check the multicollinearity in our data we will look at the Variance Inflation Factors (VIF):

vif_values <- vif(full_lm)
sorted_vif <- sort(vif_values, decreasing = TRUE)
vif_table <- data.frame(VIF = sorted_vif)
kable(vif_table, format = "markdown")
VIF
under.five.deaths 18.741587
infant.deaths 17.574420
thinness.10.19.years 9.144831
thinness.5.9.years 9.014553
Income.composition.of.resources 5.103967
Schooling 4.828482
Diphtheria 4.223635
Polio 3.963522
percentage.expenditure 2.818810
GDP 2.754848
HIV.AIDS 2.156189
Alcohol 2.043490
Status 1.941817
Hepatitis.B 1.648238
Adult.Mortality 1.638067
Measles 1.437989
Total.expenditure 1.215365
Population 1.159776

It is generally desirable to have VIF values as small as possible, closer to 1, which indicates low levels of collinearity. As a rule of thumb VIF = 5 is taken as a threshold, and any independent variable with VIF > 5 will have to be removed, due to problematic amount of collinearity.

The VIF values for under.five.deaths, infant.deaths, thinness.10.19.years, thinness.5.9.years and Income.composition.of.resources have high values (> 5) that indicate collinearity problem. Therefore, we’ve decided to remove them from the model.

cols_to_remove <- c("under.five.deaths", "infant.deaths", "thinness.10.19.years", "thinness.5.9.years", "Income.composition.of.resources")
X_colnames_reduced <- X_colnames[!(X_colnames %in% cols_to_remove)]

full_lm_low_vif <- lm(train[,Y_colname] ~ ., data = train[, X_colnames_reduced])
summary(full_lm_low_vif)
## 
## Call:
## lm(formula = train[, Y_colname] ~ ., data = train[, X_colnames_reduced])
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -15.922  -2.304   0.034   2.255  14.592 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(>|t|)    
## (Intercept)             6.297e+01  8.568e-01  73.493  < 2e-16 ***
## StatusDeveloping       -1.810e+00  2.921e-01  -6.194 6.89e-10 ***
## Adult.Mortality        -1.848e-02  9.228e-04 -20.022  < 2e-16 ***
## Alcohol                 7.458e-02  2.827e-02   2.638  0.00838 ** 
## percentage.expenditure  2.577e-03  3.485e-04   7.396 1.93e-13 ***
## Hepatitis.B            -3.605e-02  7.498e-03  -4.808 1.62e-06 ***
## Measles                -1.601e-03  2.726e-04  -5.874 4.86e-09 ***
## Polio                   3.241e-02  1.041e-02   3.112  0.00188 ** 
## Total.expenditure       1.911e-02  3.748e-02   0.510  0.61016    
## Diphtheria              7.038e-02  1.069e-02   6.583 5.67e-11 ***
## HIV.AIDS               -6.004e+00  1.663e-01 -36.095  < 2e-16 ***
## GDP                     1.781e-05  2.453e-05   0.726  0.46792    
## Population              6.062e-09  1.018e-08   0.595  0.55159    
## Schooling               5.915e-01  4.277e-02  13.830  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 3.927 on 2365 degrees of freedom
## Multiple R-squared:  0.8352, Adjusted R-squared:  0.8343 
## F-statistic: 922.3 on 13 and 2365 DF,  p-value: < 2.2e-16

As we can see after removing columns with high VIF, the R-squared value decreased. However, it is important to note that the primary goal of removing variables with high VIF is to address the issue of collinearity and improve the model’s reliability and interpretability. We expect the adjusted model to be more appropriate for analysis and inference.

Let’s now have a look at the diagnostic plots.

par(mfrow=c(2,2))
plot(full_lm_low_vif)

Fitted vs Residual graph
The red line is very close to zero and the spread of the residuals is approximately the same across the x axis, so we have no discernible non-linear trends or indications of non-constant variance.

Normal Q-Q Plot
After removing columns with high VIF, it is evident that the heteroscedasticity problem has improved. The deviation is not as serious anymore. However, the residuals still deviate from the diagonal line in both the upper and lower tails. This plot suggests that the tails have smaller values than what we would anticipate under the standard modeling assumptions, indicating a “lighter” distribution.

Scale-Location
This plot has also improved. The red line deviates only slightly from the horizontal, indicating a very small presence of heteroscedasticity.

Residuals vs Leverage
In this plot we see no evidence of outliers. The “Cook’s distance” dashed curves don’t even appear on the plot. None of the points come close to having both high residual and leverage.

Linear model (forward / backward model selection)

Next, we can explore approaches to reduce the variance of the model, namely backward and forward model selection. Empirically, backward selection tends to perform better in this regard. However, we also retain the forward selection method for comparison purposes.

nvmax <- 2 * (length(full_lm_low_vif$coefficients) - 1) # 2 x number of variables

forward_sel_lm = regsubsets(train[,Y_colname] ~., data = train[, X_colnames_reduced], method = 'forward', nvmax = nvmax)
backward_sel_lm = regsubsets(train[,Y_colname] ~., data = train[, X_colnames_reduced], method = 'backward', nvmax = nvmax)
plot_max_point <- function(values){
  max_idx = which.max(values)
  points(max_idx, values[max_idx], col = 'red', cex = 2, pch = 20)
}

plot_min_point <- function(values){
  min_idx = which.min(values)
  points(min_idx, values[min_idx], col = 'red', cex = 2, pch = 20)
}

plot_subsets_summary <- function(featureSelection_lm){
  
  featureSelection_lm_summary <- summary(featureSelection_lm)

  xlabel = 'Number of iterations'
  
  par(mfrow = c(3, 1))
  
  adjr2_list <- featureSelection_lm_summary$adjr2
  max_adjr2_idx <- which.max(adjr2_list)
  plot(adjr2_list, xlab = xlabel, ylab = 'Adjusted R2', type = 'l')
  plot_max_point(values = adjr2_list) # The model with highest value is the best model.
  text(x = max_adjr2_idx, y = adjr2_list[max_adjr2_idx], labels = max_adjr2_idx, pos = 1)
  
  cp_list <- featureSelection_lm_summary$cp
  min_cp_idx <- which.min(cp_list)
  plot(cp_list, xlab = xlabel, ylab = 'Cp', type = 'l')
  plot_min_point(values = cp_list) # The model with least value is the best model.
  text(x = min_cp_idx, y = cp_list[min_cp_idx], labels = min_cp_idx, pos = 3)
  
  bic_list <- featureSelection_lm_summary$bic
  min_bic_idx <- which.min(bic_list)
  plot(bic_list, xlab = xlabel, ylab = 'BIC', type = 'l')
  plot_min_point(values = bic_list) # The model with least value is the best model.
  text(x = min_bic_idx, y = bic_list[min_bic_idx], labels = min_bic_idx, pos = 3)
}

Both feature selection techniques yielded the same results. So, for simplicity, we will show the results only for the backward selection method.

#plot_subsets_summary(forward_sel_lm)
plot_subsets_summary(backward_sel_lm)

From the graphs it is evident that different statistical measures, such as Cp, BIC, and Adjusted R-squared, share a consensus regarding the number of variables that should be chosen. All three measures advocate for the removal of three variables from the model, resulting in a reduction from 13 to 10 variables.

# Get the chosen variables according to each statistical measure
backward_sel_lm_summary <- summary(backward_sel_lm)
vars_adjr2 <- names(coefficients(backward_sel_lm, which.max(backward_sel_lm_summary$adjr2)))
vars_cp <- names(coefficients(backward_sel_lm, which.min(backward_sel_lm_summary$cp)))
vars_bic <- names(coefficients(backward_sel_lm, which.min(backward_sel_lm_summary$bic)))

vars_full_model <- names(coef(full_lm_low_vif))
selected_vars_df <- data.frame(Feature = vars_full_model, AdjR2 = 0, Cp = 0, BIC = 0)
selected_vars_df$AdjR2 <- as.numeric(selected_vars_df$Feature %in% vars_adjr2)
selected_vars_df$Cp <- as.numeric(selected_vars_df$Feature %in% vars_cp)
selected_vars_df$BIC <- as.numeric(selected_vars_df$Feature %in% vars_bic)

# Remove the intercept
selected_vars_df <- selected_vars_df[-1, ]

kable(selected_vars_df, row.names = FALSE, format = "markdown")
Feature AdjR2 Cp BIC
StatusDeveloping 1 1 1
Adult.Mortality 1 1 1
Alcohol 1 1 1
percentage.expenditure 1 1 1
Hepatitis.B 1 1 1
Measles 1 1 1
Polio 1 1 1
Total.expenditure 0 0 0
Diphtheria 1 1 1
HIV.AIDS 1 1 1
GDP 0 0 0
Population 0 0 0
Schooling 1 1 1

The feature selection algorithm consistently suggests that the variables “Total.expenditure”, “GDP” and “Population” should be eliminated from the final model. This recommendation is supported by all three statistical measures. From a practical standpoint, there are valid reasons for excluding these variables:

  1. Population: Including the population of a country in the model is unlikely to have a direct impact on life expectancy. Therefore, it can be deemed unnecessary for predicting life expectancy accurately.

  2. Total.expenditure: The information conveyed by the “Total.expenditure” variable is largely captured by the “percentage.expenditure” variable. Hence, including both variables in the model would introduce redundancy without significantly enhancing our understanding.

  3. GDP: The GDP variable, although highly informative, is partly captured by the variables percentage.expenditure, Status, and Schooling. Therefore, to rely on the feature selection method, we will exclude it from our model.

By excluding these variables, the final model becomes more concise and interpretable without compromising the explained variance to a great extent. However, it is essential to verify the impact on explained variance before drawing a definitive conclusion.

To represent the most significant variables, here we report the variable elimination plots:

plot(backward_sel_lm, scale = 'r2')

plot(backward_sel_lm, scale = 'bic')

plot(backward_sel_lm, scale = 'Cp')

Based on the regsubsets plot, we reach the same conclusion as before. Therefore, we will proceed with removing the variables “GDP”, “Population” and “Total.expenditure” from our model. After removing these variables, we will retrain the multiple linear regressor using the updated set of features.

cols_to_remove <- c("GDP", "Population", "Total.expenditure")
X_colnames_reduced_featureSel <- X_colnames_reduced[!(X_colnames_reduced %in% cols_to_remove)]

featureSel_lm <- lm(train[,Y_colname] ~ ., data = train[, X_colnames_reduced_featureSel])
summary(featureSel_lm)
## 
## Call:
## lm(formula = train[, Y_colname] ~ ., data = train[, X_colnames_reduced_featureSel])
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -15.9567  -2.3138   0.0302   2.2438  14.6893 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(>|t|)    
## (Intercept)            63.0689595  0.8337136  75.648  < 2e-16 ***
## StatusDeveloping       -1.8360729  0.2880656  -6.374 2.21e-10 ***
## Adult.Mortality        -0.0184493  0.0009220 -20.011  < 2e-16 ***
## Alcohol                 0.0781380  0.0279567   2.795  0.00523 ** 
## percentage.expenditure  0.0027274  0.0002653  10.281  < 2e-16 ***
## Hepatitis.B            -0.0358656  0.0074847  -4.792 1.75e-06 ***
## Measles                -0.0015676  0.0002631  -5.959 2.91e-09 ***
## Polio                   0.0328776  0.0104009   3.161  0.00159 ** 
## Diphtheria              0.0701884  0.0106717   6.577 5.89e-11 ***
## HIV.AIDS               -6.0173818  0.1652758 -36.408  < 2e-16 ***
## Schooling               0.5962077  0.0425159  14.023  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 3.925 on 2368 degrees of freedom
## Multiple R-squared:  0.8352, Adjusted R-squared:  0.8345 
## F-statistic:  1200 on 10 and 2368 DF,  p-value: < 2.2e-16

The variance explained by the model is 83.45%, which is nearly identical to the previous result (83.43%) achieved with the full model that included all variables except those displaying multicollinearity issues.

Let’s now have a look at the diagnostic plots of the new model.

par(mfrow=c(2,2))
plot(featureSel_lm)

We can observe that the distribution has “fat” tails - both the ends of the Q-Q plot deviate from the straight line and its center follows a straight line. We refer to this as positive kurtosis (a measure of “tailedness”).

ggplot(data = featureSel_lm, aes(x = featureSel_lm$residuals)) +
  geom_histogram(fill = 2, color = "white", alpha = 0.5, bins = 30) +
  labs(x = "Residuals", y = "Count", title = "Histogram of Residuals")

The histogram of the residuals shows a pattern that closely resembles a normal distribution. However, it is still necessary to perform statistical tests to confirm the assumption of normality of the residuals.

Addressing heteroskedasticity

shapiro.test(residuals(featureSel_lm))
## 
##  Shapiro-Wilk normality test
## 
## data:  residuals(featureSel_lm)
## W = 0.99042, p-value = 1.751e-11

In the context of the Shapiro-Wilk test, the null hypothesis is that the data is normally distributed. Since the p-value is significantly small (<< 0.05), it suggests strong evidence to reject the null hypothesis. Therefore, based on these results, it can be inferred that the residuals do not follow a normal distribution.

bptest(featureSel_lm)
## 
##  studentized Breusch-Pagan test
## 
## data:  featureSel_lm
## BP = 305.6, df = 10, p-value < 2.2e-16
ncvTest(featureSel_lm)
## Non-constant Variance Score Test 
## Variance formula: ~ fitted.values 
## Chisquare = 146.174, Df = 1, p = < 2.22e-16

Both the Breusch-Pagan test and the Non-constant Variance Score Test indicate strong evidence against the null hypothesis of constant variance of the residuals. Both tests provide strong evidence supporting the presence of heteroskedasticity in the regression model.

Data Transformation

To address the issue of constant variance of the residuals, let’s attempt to mitigate it through data transformation. Transforming the data is the go-to approach to remove heteroskedasticity. The goal is to stabilize the variance and to bring the distribution closer to the Normal distribution. The log is an effective transformation to do this. Taking the square root or cubic root are two possible alternatives.

Previously, we made attempts to address outliers through data transformation, but unfortunately, it did not yield any improvement. Now, let’s focus on utilizing a log transformation to address the non-normality of residuals. Since there are 0s present in the data, we will use the formula log(1+x) to handle these values appropriately. We will only consider the variables that were selected earlier using multicollinearity check and feature selection. Initially, we exclude the binary variable “Status” when computing the log transformation. However, we will add it back later to enhance the linear model.

Additionally, we attempted using the square root transformation but did not observe any significant improvement in the model’s performance.

X_colnames_reduced_featureSel_noStatus <- X_colnames_reduced_featureSel[!X_colnames_reduced_featureSel %in% "Status"]

train_log <- train[, c(X_colnames_reduced_featureSel_noStatus, "Life.expectancy")]
train_log <- log1p(train_log) # sqrt
train_log$Status <- train$Status

log_featureSel_lm <- lm(Life.expectancy ~ ., data = train_log)
summary(log_featureSel_lm)
## 
## Call:
## lm(formula = Life.expectancy ~ ., data = train_log)
## 
## Residuals:
##       Min        1Q    Median        3Q       Max 
## -0.259843 -0.034517  0.003255  0.036388  0.236459 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(>|t|)    
## (Intercept)             3.8005251  0.0448008  84.832  < 2e-16 ***
## Adult.Mortality        -0.0177573  0.0017723 -10.020  < 2e-16 ***
## Alcohol                 0.0071076  0.0021311   3.335 0.000866 ***
## percentage.expenditure  0.0056730  0.0006370   8.906  < 2e-16 ***
## Hepatitis.B            -0.0371950  0.0093055  -3.997 6.61e-05 ***
## Measles                -0.0035206  0.0005485  -6.419 1.66e-10 ***
## Polio                   0.0422277  0.0122626   3.444 0.000584 ***
## Diphtheria              0.0774967  0.0125412   6.179 7.55e-10 ***
## HIV.AIDS               -0.2079118  0.0047916 -43.391  < 2e-16 ***
## Schooling               0.0931839  0.0076134  12.239  < 2e-16 ***
## StatusDeveloping       -0.0357746  0.0044715  -8.001 1.92e-15 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.06586 on 2368 degrees of freedom
## Multiple R-squared:  0.8012, Adjusted R-squared:  0.8004 
## F-statistic: 954.3 on 10 and 2368 DF,  p-value: < 2.2e-16
ggplot(data = log_featureSel_lm, aes(x = log_featureSel_lm$residuals)) +
  geom_histogram(fill = 5, color = "white", alpha = 0.55, bins = 30) +
  labs(x = "Residuals", y = "Count", title = "Histogram of Residuals")

shapiro.test(residuals(log_featureSel_lm))
## 
##  Shapiro-Wilk normality test
## 
## data:  residuals(log_featureSel_lm)
## W = 0.98123, p-value < 2.2e-16

From the analysis of the histogram of the residuals and the results of the Shapiro-Wilk test, it can be concluded that the data transformation did not effectively address the issue of non-normality in the residuals. The residuals continue to deviate from the assumption of normality.

Based on our analysis, we can conclude that a slight issue of heteroscedasticity still persists. However, the departure from normality, as observed from the histograms, is not severe. Moreover, considering the sufficiently large sample size, we can still rely on the reliability of our analysis.

The linear model appears to be suitable for predicting Life.expectancy based on the Adj. R-Squared value. It successfully passed 2 out of 4 Assumption Checks, namely the Multicollinearity and Linearity Test, although it did not meet the criteria for Normality and Homoscedasticity.

The Linear Model effectively captures the linear relationship between Life.expectancy and the chosen independent variables. However, it is important to acknowledge the model’s sensitivity to outliers, which were prevalent in the initial dataset.

Here is a summary of all of the models tested so far:

kable(df_metrics_regression[order(-df_metrics_regression$Adj_R2), ], format = "markdown")
Model_name Adj_R2 AIC BIC n_coef MSE RMSE n_RMSE_sd n_RMSE_range
2 Multiple linear regression 0.8494650 13052.44 13167.93 19 11.65604 3.414094 0.4123672 0.0834742
4 MLR - Feature selection 0.8344579 13270.57 13339.86 11 14.16370 3.763469 0.4545661 0.0920164
3 MLR - No multicollinearity 0.8343365 13275.30 13361.92 14 13.96116 3.736464 0.4513042 0.0913561
1 Simple linear regression 0.6071161 15317.74 15335.06 2 19.27546 4.390383 0.5302871 0.1073443

As we can see from the table above, we have tested a total of four models (excluding the log transformation model). Below, we can also observe the bar graphs for each model, representing different evaluation metrics. The models exhibit varying levels of explanatory power.

Among the tested models, the multiple linear regression model has the highest adjusted R-squared, indicating a better fit to the data compared to the other models. However, it is important to note that this model also includes features with a high level of multicollinearity, which can compromise its reliability.

Considering this multicollinearity issue, we can turn our attention to the model obtained using backward feature selection. This model exhibits a slightly lower adjusted R-squared value but offers a favorable trade-off between goodness of fit and complexity. Moreover, the model displays low values of AIC and BIC, suggesting that it strikes a good balance between performance and simplicity.

# Bar graph for Adj_R2
ggplot(df_metrics_regression, aes(x = Model_name, y = Adj_R2, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(Adj_R2, 3)), vjust = 2.5) +
  labs(x = "Model", y = "Adj_R2") +
  ggtitle("Adjusted R-Squared Comparison") +
  theme(axis.text.x = element_blank()) +
  scale_fill_manual(values = brewer.pal(11, "Blues"))

# Bar graph for AIC
ggplot(df_metrics_regression, aes(x = Model_name, y = AIC, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(AIC, 2)), vjust = 2.5) +
  labs(x = "Model", y = "AIC") +
  ggtitle("AIC Comparison") +
  theme(axis.text.x = element_blank()) +
  scale_fill_manual(values = brewer.pal(11, "Blues"))

# Bar graph for BIC
ggplot(df_metrics_regression, aes(x = Model_name, y = BIC, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(BIC, 2)), vjust = 2.5) +
  labs(x = "Model", y = "BIC") +
  ggtitle("BIC Comparison") +
  theme(axis.text.x = element_blank()) +
  scale_fill_manual(values = brewer.pal(11, "Blues"))

# Bar graph for n_coef
ggplot(df_metrics_regression, aes(x = Model_name, y = n_coef, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = n_coef), vjust = 2.5) +
  labs(x = "Model", y = "Number of Coefficients") +
  ggtitle("Number of Coefficients Comparison") +
  theme(axis.text.x = element_blank()) +
  scale_fill_manual(values = brewer.pal(11, "Blues"))

# Bar graph for MSE
ggplot(df_metrics_regression, aes(x = Model_name, y = MSE, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(MSE, 3)), vjust = 2.5) +
  labs(x = "Model", y = "MSE") +
  ggtitle("MSE Comparison") +
  theme(axis.text.x = element_blank())+
  scale_fill_manual(values = brewer.pal(11, "Blues"))

Ridge regression

For the Ridge regression, it is necessary to standardize data.

prepare_ridge_lasso <- function(X, Y, alpha){
  grid <- 10^seq(10, -2, length=100)

  model <- glmnet(X, Y, alpha = alpha, standardize = T)
  # alpha = 0 for Ridge Regression
  # alpha = 1 for Lasso Regression
  plot(model, label=TRUE)

  set.seed(123)

  cv.out <- cv.glmnet(X, Y, alpha = alpha, nfold=10, type.measure = "mse") #, lambda = grid)
  
  plot(cv.out)
  
  i.bestlam <- which.min(cv.out$cvm)
  bestlam <- cv.out$lambda[i.bestlam]
  cat('Best lambda:', bestlam, '\n')
  
  return(list('model' = model, 'lambda' = bestlam))
}
train$Status  <- as.numeric(train$Status) - 1
X = as.matrix(train[, X_colnames])
Y = as.matrix(train[, Y_colname])

ridge_res = prepare_ridge_lasso(X = X,
                                Y = Y,
                                alpha = 0 # Ridge
                                )

## Best lambda: 0.7771478
ridge_model <- ridge_res$model
ridge_lambda <- ridge_res$lambda
test$Status  <- as.numeric(test$Status) - 1

ridge_pred <- predict(ridge_model,
                      s = ridge_lambda,
                      newx = as.matrix(test[, X_colnames]))

ridge_mse <- mean((ridge_pred - test$Life.expectancy)^2)

ridge_mse
## [1] 11.32536

The value of best lambda is equal to 0.7771478 MSE with the best lambda: 11.32536

## 19 x 1 sparse Matrix of class "dgCMatrix"
##                                            s0
## (Intercept)                      6.178467e+01
## Status                          -1.566678e+00
## Adult.Mortality                 -1.659071e-02
## infant.deaths                   -3.815383e-03
## Alcohol                          2.971702e-02
## percentage.expenditure           1.809689e-03
## Hepatitis.B                     -3.117030e-02
## Measles                         -1.085772e-03
## under.five.deaths               -9.619846e-03
## Polio                            3.497233e-02
## Total.expenditure                3.635885e-02
## Diphtheria                       5.586953e-02
## HIV.AIDS                        -5.089851e+00
## GDP                              1.845616e-05
## Population                       1.182992e-08
## thinness.10.19.years            -1.435647e-02
## thinness.5.9.years              -1.349134e-01
## Income.composition.of.resources  1.033262e+01
## Schooling                        2.240213e-01

Lasso regression

lasso_res = prepare_ridge_lasso(X = X,
                                Y = Y,
                                alpha = 1  # Lasso
                                )

## Best lambda: 0.01390045
lasso_model <- lasso_res$model
lasso_lambda <- lasso_res$lambda
lasso_pred <- predict(lasso_model,
                      s = lasso_lambda,
                      newx = as.matrix(test[, X_colnames]))
lasso_mse <- mean((lasso_pred - test$Life.expectancy)^2)
lasso_mse
## [1] 11.58511

The value of best lambda is equal to: 0.01390045 MSE with the best lambda: 11.58511

We can see that the value of MSE of the lasso model is slightly worse than the ridge regularization model. So, we can conclude that the model with the L2 regularization term has slightly better predicting capabilities.

## 19 x 1 sparse Matrix of class "dgCMatrix"
##                                            s0
## (Intercept)                      6.282729e+01
## Status                          -1.532075e+00
## Adult.Mortality                 -1.629361e-02
## infant.deaths                   -9.899519e-04
## Alcohol                          3.942786e-02
## percentage.expenditure           1.942843e-03
## Hepatitis.B                     -3.619393e-02
## Measles                         -1.152598e-03
## under.five.deaths               -1.131993e-02
## Polio                            2.693688e-02
## Total.expenditure                4.394684e-02
## Diphtheria                       6.014363e-02
## HIV.AIDS                        -5.641637e+00
## GDP                              .           
## Population                       8.111517e-09
## thinness.10.19.years             3.828856e-02
## thinness.5.9.years              -1.670527e-01
## Income.composition.of.resources  1.213636e+01
## Schooling                        1.123695e-01
kable(df_metrics_regression[order(df_metrics_regression$MSE)], format = "markdown")
Adj_R2 MSE Model_name
4 0.8344579 14.16370 MLR - Feature selection
1 0.8314610 11.32536 Ridge regression
11 0.8275955 11.58511 Lasso regression
ggplot(df_metrics_regression, aes(x = reorder(Model_name, MSE), y = MSE, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(MSE, 3)), vjust = 2.5) +
  labs(x = "Model", y = "MSE") +
  ggtitle("MSE Comparison") +
  theme(axis.text.x = element_blank()) + 
  scale_fill_manual(values = brewer.pal(11, "Blues"))

ggplot(df_metrics_regression, aes(x = reorder(Model_name, Adj_R2), y = Adj_R2, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(Adj_R2, 3)), vjust = 2.5) +
  labs(x = "Model", y = "Adj_R2") +
  ggtitle("Adj_R2 Comparison") +
  theme(axis.text.x = element_blank()) + 
  scale_fill_manual(values = brewer.pal(11, "Blues"))

Based on the analysis, we can conclude that the model obtained using backward feature selection outperforms the regularized models. Although it has a slightly higher Mean Squared Error (MSE) compared to the regularized models, its Adjusted R-squared (Adj_R2) is significantly higher. Moreover, there were no signs of overfitting observed in this model. Therefore, we will proceed with the unregularized model.

Let’s rerun its summary and interpret the results.

featureSel_lm <- lm(train[,Y_colname] ~ ., data = train[, X_colnames_reduced_featureSel])
summary(featureSel_lm)
## 
## Call:
## lm(formula = train[, Y_colname] ~ ., data = train[, X_colnames_reduced_featureSel])
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -15.9567  -2.3138   0.0302   2.2438  14.6893 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(>|t|)    
## (Intercept)            63.0689595  0.8337136  75.648  < 2e-16 ***
## Status                 -1.8360729  0.2880656  -6.374 2.21e-10 ***
## Adult.Mortality        -0.0184493  0.0009220 -20.011  < 2e-16 ***
## Alcohol                 0.0781380  0.0279567   2.795  0.00523 ** 
## percentage.expenditure  0.0027274  0.0002653  10.281  < 2e-16 ***
## Hepatitis.B            -0.0358656  0.0074847  -4.792 1.75e-06 ***
## Measles                -0.0015676  0.0002631  -5.959 2.91e-09 ***
## Polio                   0.0328776  0.0104009   3.161  0.00159 ** 
## Diphtheria              0.0701884  0.0106717   6.577 5.89e-11 ***
## HIV.AIDS               -6.0173818  0.1652758 -36.408  < 2e-16 ***
## Schooling               0.5962077  0.0425159  14.023  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 3.925 on 2368 degrees of freedom
## Multiple R-squared:  0.8352, Adjusted R-squared:  0.8345 
## F-statistic:  1200 on 10 and 2368 DF,  p-value: < 2.2e-16


Interpretation - Linear Regression

Finally, let’s interpret the results achieved by the best model.

The model’s performance is indicated by the multiple R-squared value of 0.8352, which means that approximately 83.52% of the variance in the response variable can be explained by the predictors in the model. The adjusted R-squared value, which accounts for the number of predictors in the model, is 0.8345.

The F-statistic for the model is 1200, with a p-value of << 0.05, indicating that the model as a whole is statistically significant in explaining the variation in the response variable.

The residual standard error of the model is 3.925, which represents the average difference between the observed and predicted values of the response variable.

Also, the model provides insights into the relationships between the predictors and the response variable, allowing us to make interpretations and draw conclusions about the factors influencing the response variable. Here is a summary of the relationships between the predictors and the response variable:

  • StatusDeveloping: Being in a developing status is associated with a decrease in Life Expectancy on average.

  • Adult Mortality: An increase in adult mortality is associated with a decrease in Life Expectancy on average.

  • Alcohol: Higher alcohol consumption is associated with an increase in Life Expectancy on average.

  • Percentage Expenditure: An increase in percentage expenditure is associated with an increase in Life Expectancy on average.

  • Hepatitis B: Higher Hepatitis B vaccination coverage is associated with a decrease in Life Expectancy on average.

  • Measles: For each unit increase in measles cases, Life Expectancy is expected to decrease on average.

  • Polio: Higher Polio vaccination coverage is associated with an increase in Life Expectancy on average.

  • Diphtheria: Higher Diphtheria vaccination coverage is associated with an increase in Life Expectancy on average.

  • HIV/AIDS: A higher prevalence of HIV/AIDS is associated with a decrease in Life Expectancy on average.

  • GDP: An increase in GDP is associated with an increase in Life Expectancy on average.

  • Schooling: An increase in schooling years is associated with an increase in Life Expectancy on average.

In summary, these findings were logical to us, and they highlight the impact of various factors on Life Expectancy. Factors such as adult mortality, vaccination coverage, disease prevalence, socioeconomic indicators, and lifestyle choices, like alcohol consumption, play a significant role in shaping Life Expectancy outcomes.

Before we continue with classification, let’s visualize the predictions of the model using a world map. For this purpose, we used the maps library. Unfortunately, there were a couple of countries whose names mismatched between the values in our dataset and the country names in the maps library. For the larger countries, we made the necessary modifications so that they would match. For some smaller countries, we decided to skip them, as this is just for demonstration purposes, and we were satisfied with the obtained visualization.

WorldData <- map_data("world")

test_pred <- df_test
test_pred$pred <- predict(featureSel_lm, newdata = test)
test_pred_2015 <- test_pred[test_pred$Year == '2015',]
test_pred_2015 <- test_pred_2015[c("Country", "pred")]

# Modify certain values so they will match
test_pred_2015$Country <- as.character(test_pred_2015$Country)
test_pred_2015[test_pred_2015$Country == "United States of America", "Country"] <- "USA"
test_pred_2015[test_pred_2015$Country == "Russian Federation", "Country"] <- "Russia"
test_pred_2015[test_pred_2015$Country == "Bolivia (Plurinational State of)", "Country"] <- "Bolivia"
test_pred_2015[test_pred_2015$Country == "Iran (Islamic Republic of)", "Country"] <- "Iran"
test_pred_2015[test_pred_2015$Country == "United Kingdom of Great Britain and Northern Ireland", "Country"] <- "UK"
test_pred_2015[test_pred_2015$Country == "Democratic People's Republic of Korea", "Country"] <- "South Korea"

ggplot() +
  geom_map(data = WorldData, map = WorldData,
           aes(x = long, y = lat, group = group, map_id=region),
           fill = "white", colour = "#7f7f7f", size=0.5) + 
  geom_map(data = test_pred_2015, map=WorldData,
           aes(fill=pred, map_id=Country),
           colour="#7f7f7f", size=0.5) +
  coord_map("rectangular", lat0=0, xlim=c(-180,180), ylim=c(-60, 90)) +
  scale_fill_continuous(low=0, high=2, guide="colorbar") +
  scale_y_continuous(breaks=c()) +
  scale_x_continuous(breaks=c()) +
  labs(fill="Life expectancy", title="Life expectancy predictions", x="", y="") +
  theme_bw()

WorldData <- map_data("world")

test_pred <- df_test
test_pred_2015 <- test_pred[test_pred$Year == '2015',]
test_pred_2015 <- test_pred_2015[c("Country", "Life.expectancy")]

# Modify certain values so they will match
test_pred_2015$Country <- as.character(test_pred_2015$Country)
test_pred_2015[test_pred_2015$Country == "United States of America", "Country"] <- "USA"
test_pred_2015[test_pred_2015$Country == "Russian Federation", "Country"] <- "Russia"
test_pred_2015[test_pred_2015$Country == "Bolivia (Plurinational State of)", "Country"] <- "Bolivia"
test_pred_2015[test_pred_2015$Country == "Iran (Islamic Republic of)", "Country"] <- "Iran"
test_pred_2015[test_pred_2015$Country == "United Kingdom of Great Britain and Northern Ireland", "Country"] <- "UK"
test_pred_2015[test_pred_2015$Country == "Democratic People's Republic of Korea", "Country"] <- "South Korea"

ggplot() +
  geom_map(data = WorldData, map = WorldData,
           aes(x = long, y = lat, group = group, map_id=region),
           fill = "white", colour = "#7f7f7f", size=0.5) + 
  geom_map(data = test_pred_2015, map=WorldData,
           aes(fill=Life.expectancy, map_id=Country),
           colour="#7f7f7f", size=0.5) +
  coord_map("rectangular", lat0=0, xlim=c(-180,180), ylim=c(-60, 90)) +
  scale_fill_continuous(low=0, high=2, guide="colorbar") +
  scale_y_continuous(breaks=c()) +
  scale_x_continuous(breaks=c()) +
  labs(fill="Life expectancy", title="Life expectancy true values", x="", y="") +
  theme_bw()

For most countries, we can see a good match between the model predictions and the true values. However, the model sometimes overestimates life expectancy. The lowest life expectancy is observed in Africa, except for its northern countries. Europe generally has high life expectancy, along with Australia and North America. Argentina has the highest life expectancy among South American countries. Asia does not have high life expectancy in general, with certain exceptions, such as Japan, which is one of the top countries in terms of life expectancy.

Classification

In this section, we will address a binary classification problem. Our objective will be to determine whether a country’s life expectancy is below or above the (Italian) pension threshold of 67 years. To approach this, we will generate a binary variable by using a threshold on the Life expectancy column. This parameter can be of great value to businesses, banks, and other industries seeking insights related to retirement planning.

The binary classification of life expectancy can be used to analyze the socioeconomic factors contributing to disparities in longevity. By examining countries below the pension threshold, researchers and organizations can gain insights into underlying causes, such as healthcare access, social support systems, economic conditions, and lifestyle factors. This knowledge can inform policies aimed at addressing disparities and improving public health.

standard_pension_age <- 67
LifeExp <- LifeExp %>% mutate(Pension_Status = ifelse(Life.expectancy < standard_pension_age, "Below", "Above"))
LifeExp[,"Pension_Status"] <- as.factor(LifeExp[,"Pension_Status"])
LifeExp <- LifeExp[, !(names(LifeExp) %in% "Life.expectancy")]
prop.table(table(LifeExp$Pension_Status))
## 
##     Above     Below 
## 0.6589517 0.3410483

Upon applying the threshold of 67 to the Life expectancy column, we observe that the resulting categories, “Above” and “Below,” contain approximately 66% and 34% of the data, respectively. This indicates a noticeable level of class imbalance. Consequently, we will assess the potential impact of this imbalance on the performance of our classifiers. Nonetheless, we will be vigilant and employ suitable metrics specifically designed for evaluating models trained on unbalanced data.

We proceed by splitting our data into a training set and a test set. To accomplish the split, we have designated the years 2013-2015 as the test set, while the remaining data will serve as the training set. This division allows us to evaluate the performance of our models on unseen data while using the majority of the data for training. In cases where necessary, we will further partition a portion of the training set to create a validation set.

ctrl <- trainControl(method = "cv", number = 5)
test <- LifeExp$Year %in% c('2015', '2014', '2013')
df_test <- LifeExp[test, ]
df_train <- LifeExp[!test, ]
df_test <- subset(df_test, select = -c(Year, Country))
df_train <- subset(df_train, select = -c(Year, Country))
cat("Train size: ", nrow(df_train)/nrow(LifeExp)*100, "\nTest size: ", nrow(df_test)/nrow(LifeExp)*100)
## Train size:  80.97345 
## Test size:  19.02655
Y_colname <- "Life.expectancy"
X_colnames <- colnames(test)[colnames(test) != Y_colname]

As we can see, the train-test strategy resulted in a 81-19% split.

prop.table(table(df_train$Pension_Status))
## 
##     Above     Below 
## 0.6469105 0.3530895
prop.table(table(df_test$Pension_Status))
## 
##     Above     Below 
## 0.7101968 0.2898032

The test set is more unbalanced.

df_metrics <- data.frame(Model_name = character(),
                         AIC = numeric(),
                         McFaddens_R2 = numeric(),
                         Accuracy = numeric(),
                         Precision = numeric(),
                         Recall = numeric(),
                         F1_score = numeric(),
                         PR_AUC = numeric())
colnames(df_metrics) <- c("Model_name", "AIC", "McFaddens_R2", "Accuracy", "Precision", "Recall", "F1_score", "PR_AUC")

Logistic regression

Logistic regression is a widely adopted classification algorithm that serves as a common choice when dealing with linearly separable data. Considering this, we have opted to begin the classification part using this technique.

Unbalanced dataset

glm_model <- glm(Pension_Status ~ .,
                 data = df_train,
                 family = "binomial")
summary(glm_model)
## 
## Call:
## glm(formula = Pension_Status ~ ., family = "binomial", data = df_train)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -3.0881  -0.2686  -0.0001   0.1172   3.1633  
## 
## Coefficients:
##                                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                     -7.970e+00  4.449e+02  -0.018  0.98571    
## StatusDeveloping                 1.420e+01  4.449e+02   0.032  0.97454    
## Adult.Mortality                  8.980e-03  1.092e-03   8.223  < 2e-16 ***
## infant.deaths                   -3.009e-02  1.966e-02  -1.530  0.12590    
## Alcohol                         -1.770e-02  3.598e-02  -0.492  0.62270    
## percentage.expenditure          -2.211e-03  5.256e-04  -4.206 2.60e-05 ***
## Hepatitis.B                      1.509e-02  8.145e-03   1.852  0.06398 .  
## Measles                          7.912e-04  2.982e-04   2.653  0.00797 ** 
## under.five.deaths                1.677e-02  1.360e-02   1.233  0.21745    
## Polio                           -2.353e-02  9.590e-03  -2.454  0.01413 *  
## Total.expenditure               -1.568e-01  4.834e-02  -3.244  0.00118 ** 
## Diphtheria                      -2.328e-02  9.810e-03  -2.373  0.01762 *  
## HIV.AIDS                         1.764e+00  1.635e-01  10.786  < 2e-16 ***
## GDP                             -9.399e-06  3.400e-05  -0.276  0.78222    
## Population                      -6.179e-09  1.107e-08  -0.558  0.57685    
## thinness.10.19.years            -4.983e-02  4.614e-02  -1.080  0.28017    
## thinness.5.9.years               1.178e-01  4.608e-02   2.558  0.01054 *  
## Income.composition.of.resources -4.356e+00  8.845e-01  -4.925 8.44e-07 ***
## Schooling                       -2.878e-01  5.971e-02  -4.820 1.44e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 3089.55  on 2378  degrees of freedom
## Residual deviance:  891.45  on 2360  degrees of freedom
## AIC: 929.45
## 
## Number of Fisher Scoring iterations: 18

Some predictor variables, such as Adult.Mortality”, “percentage.expenditure” and “HIV.AIDS”, have statistically significant coefficients (p < 0.05), suggesting a significant association with the likelihood of life expectancy being above or below the threshold. Other predictor variables, such as “GDP” and “Population”, do not show statistically significant associations (p > 0.05).

Next, we will proceed with creating a new model that incorporates only the predictors that have been found to be statistically significant. By including only these significant predictors, we aim to simplify the model, making it more interpretable and achieving a higher level of parsimony.

Observation: This approach does not introduce bias, as the significance level was determined solely based on analyzing the results of the training data.

# Select the most significant features based on the coefficient significance levels
significant_features <- c("Adult.Mortality", "percentage.expenditure", "Measles", "Polio", "Total.expenditure", "Diphtheria", "HIV.AIDS", "thinness.5.9.years", "Income.composition.of.resources", "Schooling")

df_train_subset_glm <- df_train[, c("Pension_Status", significant_features)]
df_test_subset_glm <- df_test[, c("Pension_Status", significant_features)]

glm_reduced_model <- glm(Pension_Status ~ .,
                         data = df_train_subset_glm,
                         family = "binomial")

summary(glm_reduced_model)
## 
## Call:
## glm(formula = Pension_Status ~ ., family = "binomial", data = df_train_subset_glm)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -3.3238  -0.2699  -0.0565   0.1219   3.0579  
## 
## Coefficients:
##                                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                      6.2914024  0.7544607   8.339  < 2e-16 ***
## Adult.Mortality                  0.0092357  0.0010833   8.526  < 2e-16 ***
## percentage.expenditure          -0.0022201  0.0004853  -4.574 4.77e-06 ***
## Measles                          0.0005630  0.0002679   2.101 0.035607 *  
## Polio                           -0.0192720  0.0094161  -2.047 0.040687 *  
## Total.expenditure               -0.1644877  0.0472715  -3.480 0.000502 ***
## Diphtheria                      -0.0181207  0.0093709  -1.934 0.053148 .  
## HIV.AIDS                         1.8260172  0.1530433  11.931  < 2e-16 ***
## thinness.5.9.years               0.0754398  0.0214829   3.512 0.000445 ***
## Income.composition.of.resources -4.4763783  0.8441262  -5.303 1.14e-07 ***
## Schooling                       -0.2820963  0.0561359  -5.025 5.03e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 3089.6  on 2378  degrees of freedom
## Residual deviance:  908.9  on 2368  degrees of freedom
## AIC: 930.9
## 
## Number of Fisher Scoring iterations: 7

We can see that AIC increased from 929.45 to 930.9. Usually, when comparing two models, a difference of more than 2 in their AIC value is enough to say the model with the lower AIC is better. However, in our case this rule of thumb was not met.

Next we employ the ANOVA to test whether reducing the set of features improves the results and we compare the two models. Anova test in this case compares the deviances of the two models to assess whether the addition of additional predictor variables significantly improves the fit of the model. The test is performed by comparing the difference in deviance between the two models to a chi-square distribution.

anova(glm_model, glm_reduced_model, test="Chisq")
Resid. Df Resid. Dev Df Deviance Pr(>Chi)
2360 891.4514 NA NA NA
2368 908.8987 -8 -17.44729 0.0257743


The p-value indicates the statistical significance of the deviance difference. In this case, the p-value 0.02577 is less than the conventional significance level of 0.05, suggesting that there is a significant difference between the two models. Based on this analysis, we can conclude that Model 1, which includes additional predictors compared to Model 2, provides a better fit to the data. The specific predictors included in Model 1 are: StatusDeveloping, infant.deaths, Alcohol, Hepatitis.B, under.five.deaths, GDP, Population, thinness.10.19.years.

Therefore, we have decided to proceed with the full model. As a future work, more sophisticated feature selection methods shall be explored. However, that was not one of the goals of this project.

Balanced dataset

We will now proceed to balance the dataset in order to determine if the classification performance improves with balanced data. We will employ two different approaches: a synthetic method and a sampling method.

For the synthetic method, we will utilize the “ROSE” (Random Over Sampling Examples) library. This approach generates artificial data by using sampling methods and a smoothed bootstrap technique. Extensive research has shown that this method often produces superior results compared to traditional sampling methods, making it a reliable oversampling technique.

Next, we will use the “ovun.sample” package, which enables us to perform both oversampling and undersampling in a single step.

rose_balanced_data <- ROSE(Pension_Status ~ ., data = df_train, seed = 123)$data
table(rose_balanced_data$Pension_Status)
## 
## Above Below 
##  1204  1175

After balancing the dataset, we can observe that the number of examples in each class is now more or less the same. This balanced distribution ensures that each class is adequately represented in the training process.

glm_rose_model = glm(Pension_Status ~ .,
                     data = rose_balanced_data,
                     family = "binomial")
summary(glm_rose_model)
## 
## Call:
## glm(formula = Pension_Status ~ ., family = "binomial", data = rose_balanced_data)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -3.8359  -0.2821   0.0000   0.2226   3.2104  
## 
## Coefficients:
##                                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                     -7.662e+00  5.194e+02  -0.015 0.988231    
## StatusDeveloping                 1.521e+01  5.194e+02   0.029 0.976639    
## Adult.Mortality                  6.912e-03  7.518e-04   9.194  < 2e-16 ***
## infant.deaths                   -4.890e-03  3.398e-03  -1.439 0.150153    
## Alcohol                         -2.684e-02  2.177e-02  -1.233 0.217674    
## percentage.expenditure          -1.024e-03  2.859e-04  -3.581 0.000342 ***
## Hepatitis.B                     -1.008e-03  5.548e-03  -0.182 0.855779    
## Measles                          4.753e-04  2.073e-04   2.293 0.021870 *  
## under.five.deaths                1.021e-04  2.373e-03   0.043 0.965662    
## Polio                           -2.096e-02  5.705e-03  -3.674 0.000239 ***
## Total.expenditure               -6.579e-02  3.374e-02  -1.950 0.051226 .  
## Diphtheria                      -2.679e-02  6.140e-03  -4.363 1.28e-05 ***
## HIV.AIDS                         1.530e+00  1.274e-01  12.010  < 2e-16 ***
## GDP                             -3.488e-05  1.883e-05  -1.852 0.064021 .  
## Population                      -3.771e-09  8.130e-09  -0.464 0.642764    
## thinness.10.19.years             2.044e-02  2.310e-02   0.885 0.376067    
## thinness.5.9.years               7.133e-02  2.355e-02   3.029 0.002450 ** 
## Income.composition.of.resources -4.943e+00  6.091e-01  -8.115 4.85e-16 ***
## Schooling                       -2.166e-01  3.473e-02  -6.237 4.45e-10 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 3297.6  on 2378  degrees of freedom
## Residual deviance: 1053.5  on 2360  degrees of freedom
## AIC: 1091.5
## 
## Number of Fisher Scoring iterations: 18

Next, we will compare the performance of the “ovun.sample” package with the previous approach. With “ovun.sample,” we can apply a combination of oversampling and undersampling. By setting the “p” parameter to 0.5, we aim to achieve a balanced dataset with a 50% probability of the positive class. This mixed approach helps us evaluate the effectiveness of balancing the dataset.

balanced_data_ovun <- ovun.sample(Pension_Status ~ ., data = df_train, method = "both", p=0.5, N = nrow(df_train), seed = 123)$data
# Can adjust the parameter p: probability of positive class in newly generated sample
table(balanced_data_ovun$Pension_Status)
## 
## Above Below 
##  1204  1175

We have achieved an almost ideal distribution of 0.506 : 0.494.

glm_ovun_model = glm(Pension_Status ~ .,
                     data = balanced_data_ovun,
                     family = "binomial")
summary(glm_ovun_model)
## 
## Call:
## glm(formula = Pension_Status ~ ., family = "binomial", data = balanced_data_ovun)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -3.2729  -0.2038   0.0000   0.1651   2.9108  
## 
## Coefficients:
##                                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                     -5.575e+00  4.976e+02  -0.011 0.991061    
## StatusDeveloping                 1.448e+01  4.976e+02   0.029 0.976785    
## Adult.Mortality                  9.555e-03  1.103e-03   8.663  < 2e-16 ***
## infant.deaths                   -2.120e-02  1.849e-02  -1.147 0.251534    
## Alcohol                          2.548e-03  3.610e-02   0.071 0.943744    
## percentage.expenditure          -1.926e-03  5.191e-04  -3.710 0.000207 ***
## Hepatitis.B                      1.127e-02  8.068e-03   1.397 0.162375    
## Measles                          7.288e-04  3.039e-04   2.398 0.016488 *  
## under.five.deaths                8.434e-03  1.284e-02   0.657 0.511386    
## Polio                           -2.828e-02  1.002e-02  -2.822 0.004770 ** 
## Total.expenditure               -2.028e-01  5.193e-02  -3.906 9.37e-05 ***
## Diphtheria                      -2.411e-02  1.030e-02  -2.341 0.019250 *  
## HIV.AIDS                         1.805e+00  1.734e-01  10.413  < 2e-16 ***
## GDP                             -4.326e-05  3.525e-05  -1.227 0.219748    
## Population                      -1.397e-08  1.154e-08  -1.211 0.225866    
## thinness.10.19.years            -5.841e-02  4.792e-02  -1.219 0.222859    
## thinness.5.9.years               1.206e-01  4.774e-02   2.525 0.011556 *  
## Income.composition.of.resources -5.635e+00  9.436e-01  -5.972 2.34e-09 ***
## Schooling                       -3.125e-01  6.443e-02  -4.851 1.23e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 3297.64  on 2378  degrees of freedom
## Residual deviance:  866.58  on 2360  degrees of freedom
## AIC: 904.58
## 
## Number of Fisher Scoring iterations: 18

Let’s now quickly compare the results of the unbalanced logistic regression with the two approaches used to balance the data.

# Sort the dataframe based on F1_score and PR_AUC columns
sorted_df <- df_metrics[order(-df_metrics$PR_AUC, -df_metrics$F1_score), ]
rounded_df <- sorted_df
rounded_df[, -1] <- round(rounded_df[, -1], 3)
kable(rounded_df, format = "markdown", row.names = FALSE)
Model_name AIC McFaddens_R2 Accuracy Precision Recall F1_score PR_AUC
Logistic regression - Ovun 904.580 0.737 0.934 0.950 0.957 0.954 0.942
Logistic regression - ROSE 1091.475 0.681 0.930 0.954 0.947 0.951 0.942
Logistic regression 929.451 0.711 0.932 0.933 0.975 0.953 0.940
plot(pr_curve_glm, max.plot = TRUE, min.plot = TRUE, rand.plot = TRUE, fill.area = TRUE, color = 2, auc.main = FALSE, ylim = c(0, 1))
plot(pr_curve_glm_rose, add = TRUE, color = 3)
plot(pr_curve_glm_ovun, add = TRUE, color = 4)

legend_text <- c(
  paste0("LR Unbalanced (AUC = ", round(pr_curve_glm$auc.integral, 3), ")"),
  paste0("LR ROSE (AUC = ", round(pr_curve_glm_rose$auc.integral, 3), ")"),
  paste0("LR Ovun (AUC = ", round(pr_curve_glm_ovun$auc.integral, 3), ")")
)

legend("bottomright", legend = legend_text, col = c(2, 3, 4), lty = 1, lwd = 2, bty = "n", cex = 0.8)

After evaluating the models, we found that they have comparable F1 and PR AUC scores. However, when considering the McFadden’s R-squared and AIC values, the model trained on the ovun.sample balanced dataset performs slightly better than the others.

Let’s visualize the confusion matrix of the logistic regression model trained on the ovun.sample balanced dataset as it performed the best:

predicted_probs <- predict(glm_ovun_model, newdata = df_test, type = "response")
predicted_classes <- ifelse(predicted_probs >= 0.5, "Below", "Above")
cm <- confusionMatrix(data=as.factor(predicted_classes), reference = df_test$Pension_Status)
fourfoldplot(cm$table, color = c("2", "5"), conf.level = 0, margin = 1, main = "Confusion Matrix")

We will now proceed with testing other classification algorithms while retaining the Logistic Regression model trained on an balanced dataset for comparison.

df_metrics <- df_metrics[df_metrics$Model_name == "Logistic regression - Ovun", ]
df_metrics[df_metrics$Model_name == "Logistic regression - Ovun", "Model_name"] <- "Logistic regression"


# Remove the columns "AIC" and "McFaddens_R2"
df_metrics <- df_metrics[, !(names(df_metrics) %in% c("AIC", "McFaddens_R2"))]

Naive Bayes

Next, we will compare our Logistic regression model with a Naive Bayes classifier. We will use the ovun.sample balanced data for the Naive Bayes classifier since it has shown good performance with Logistic regression.

set.seed(123)
nb_model <- naiveBayes(Pension_Status ~ ., data = balanced_data_ovun)

# Confusion Matrix
nb_pred <- predict(nb_model, newdata = df_test)
fourfoldplot(table(df_test$Pension_Status, nb_pred), color = c("2", "5"),
             conf.level = 0, margin = 1, main = "Confusion Matrix")

The results from the confusion matrix look decent.

AIC and McFadden’s R2 are metrics that are calculated based on the likelihood of the model. Because Naive Bayes does not have a likelihood function, these metrics cannot be calculated for it. This is because the likelihood function is used to measure how well the model fits the data, and Naive Bayes does not have a way to measure this.

We also evaluated the performance of Naive Bayes using the unbalanced dataset. Similarly as before, the balancing technique improved the performance of the Naive Bayes model as well.

Linear Discriminant Analysis

Now, let’s explore a different supervised classification technique called Linear Discriminant Analysis (LDA). This classifier utilizes the Bayes theorem to make accurate classifications.

lda_model = lda(Pension_Status ~ .,
                data = balanced_data_ovun)
lda_model
## Call:
## lda(Pension_Status ~ ., data = balanced_data_ovun)
## 
## Prior probabilities of groups:
##    Above    Below 
## 0.506095 0.493905 
## 
## Group means:
##       StatusDeveloping Adult.Mortality infant.deaths  Alcohol
## Above        0.7325581        122.8689      25.73406 5.701125
## Below        1.0000000        252.5447      35.97980 2.813213
##       percentage.expenditure Hepatitis.B  Measles under.five.deaths    Polio
## Above               395.1871    86.93680 147.2426          32.38929 91.75858
## Below                79.9367    76.50994 398.6975          54.06831 72.72363
##       Total.expenditure Diphtheria  HIV.AIDS      GDP Population
## Above          6.225434   91.47470 0.1789037 6305.279    7378151
## Below          5.192509   72.46746 1.2135319 1848.837    6571219
##       thinness.10.19.years thinness.5.9.years Income.composition.of.resources
## Above             3.388704           3.367853                       0.7203605
## Below             7.437972           7.506220                       0.4619810
##       Schooling
## Above 13.408370
## Below  8.903343
## 
## Coefficients of linear discriminants:
##                                           LD1
## StatusDeveloping                -4.314115e-01
## Adult.Mortality                  2.784080e-03
## infant.deaths                    2.107709e-03
## Alcohol                         -3.750142e-02
## percentage.expenditure          -1.913465e-04
## Hepatitis.B                     -8.544428e-03
## Measles                          3.248569e-04
## under.five.deaths               -3.230570e-03
## Polio                           -1.264911e-02
## Total.expenditure               -4.139604e-02
## Diphtheria                      -4.105851e-03
## HIV.AIDS                         8.958005e-01
## GDP                              6.775511e-06
## Population                      -7.545660e-09
## thinness.10.19.years            -3.535708e-02
## thinness.5.9.years               9.102292e-02
## Income.composition.of.resources -3.157976e+00
## Schooling                       -5.060177e-02

We also assessed the performance of LDA using the unbalanced training dataset. The results were again better using the balanced dataset.

Quadratic discriminant analysis

For the sake of completeness, we will also employ quadratic discriminant analysis to train the classification model.

qda_model = qda(Pension_Status ~ . - Status,
                data = balanced_data_ovun)
qda_model
## Call:
## qda(Pension_Status ~ . - Status, data = balanced_data_ovun)
## 
## Prior probabilities of groups:
##    Above    Below 
## 0.506095 0.493905 
## 
## Group means:
##       Adult.Mortality infant.deaths  Alcohol percentage.expenditure Hepatitis.B
## Above        122.8689      25.73406 5.701125               395.1871    86.93680
## Below        252.5447      35.97980 2.813213                79.9367    76.50994
##        Measles under.five.deaths    Polio Total.expenditure Diphtheria
## Above 147.2426          32.38929 91.75858          6.225434   91.47470
## Below 398.6975          54.06831 72.72363          5.192509   72.46746
##        HIV.AIDS      GDP Population thinness.10.19.years thinness.5.9.years
## Above 0.1789037 6305.279    7378151             3.388704           3.367853
## Below 1.2135319 1848.837    6571219             7.437972           7.506220
##       Income.composition.of.resources Schooling
## Above                       0.7203605 13.408370
## Below                       0.4619810  8.903343

Reason for excluding Status: Warning message: In predict.lm(model, df) : prediction from a rank-deficient fit may be misleading

Possible problem: Two predictor variables are perfectly correlated. Let’s analyze this issue.

cont_table <- table(balanced_data_ovun$Status, balanced_data_ovun$Pension_Status)
chi_test <- chisq.test(cont_table)
print(chi_test)
## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  cont_table
## X-squared = 361.15, df = 1, p-value < 2.2e-16
ggplot(balanced_data_ovun, aes(x = Status, fill = Pension_Status)) +  geom_bar(alpha = 0.8)

k-NN

To conclude the classification part, we will utilize a non-parametric classifier: k-NN (k-Nearest Neighbors).

numeric_cols <- names(df_test)[sapply(df_test, is.numeric)]

balanced_data_ovun[, numeric_cols] <- scale(balanced_data_ovun[, numeric_cols])
df_test[, numeric_cols] <- scale(df_test[, numeric_cols])

balanced_data_ovun$Status <- as.numeric(balanced_data_ovun$Status)
df_test$Status <- as.numeric(df_test$Status)
# Set the seed for reproducibility
set.seed(123)

# Define the cross-validation parameters
ctrl <- trainControl(method = "cv", number = 5, summaryFunction = prSummary, classProbs = TRUE)

# Perform cross-validation to select the best k
k_values <- seq(3, sqrt(nrow(balanced_data_ovun)), by = 2)
f1_scores <- numeric(length(k_values))

for (i in seq_along(k_values)) {
  k <- k_values[i]
  
  # Train the model using cross-validation
  knn_model <- train(
    x = balanced_data_ovun[, -ncol(balanced_data_ovun)],
    y = balanced_data_ovun$Pension_Status,
    method = "knn",
    trControl = ctrl,
    tuneGrid = data.frame(k = k),
    metric = "F"
  )
  f1_scores[i] <- knn_model$results$F[1]
}

best_k <- k_values[which.max(f1_scores)]
cat("Best k value:", best_k, "\n")
## Best k value: 3
final_model <- knn_model$finalModel
final_knn_pred <- predict(final_model, newdata = df_test[, -ncol(df_test)], type="class")
cm <- confusionMatrix(data=final_knn_pred, reference = df_test$Pension_Status)

fourfoldplot(cm$table, color = c("2", "5"), conf.level = 0, margin = 1, main = "Confusion Matrix")

To determine the optimal number of neighbors (k), we conducted cross-validation using a range of values from 3 to \(sqrt(n)\), where n is the number of training examples. In our case, the best value for k was found to be 3.


Interpretation - Classification

After evaluating the results obtained from training various classifiers, it was observed that the synthetic balancing of the training dataset using the ovun. sample package contributed to a slight improvement in the performances of most of the classifiers. Therefore, to ensure a fair comparison, we only considered the models trained on the balanced dataset.

# Sort the dataframe based on F1_score and PR_AUC columns
sorted_df <- df_metrics[order(-df_metrics$F1_score, -df_metrics$PR_AUC), ]
rounded_df <- sorted_df
rounded_df[, -1] <- round(rounded_df[, -1], 3)
kable(rounded_df, format = "markdown", row.names = FALSE)
Model_name Accuracy Precision Recall F1_score PR_AUC
Logistic regression 0.934 0.950 0.957 0.954 0.942
Quadratic Discriminant Analysis 0.921 0.949 0.940 0.944 0.833
Linear Discriminant Analysis 0.919 0.929 0.960 0.944 0.933
K-Nearest Neighbors 0.909 0.989 0.882 0.932 0.943
Naive Bayes 0.905 0.962 0.902 0.931 0.920

In our final analysis, we have chosen to prioritize the F1 score and PR_AUC as most significant metrics, especially for evaluating models with unbalanced datasets. Taking into account the values of these two metrics, we have identified the top-performing models as follows:

  1. Logistic Regression
  2. Linear Discriminant Analysis
  3. K-Nearest Neighbors

To determine the overall winner, it is important to carefully assess the strengths of each model in comparison to the others. The Logistic Regression model displays superior performance in terms of combined F1 score and PR AUC. This model exhibits good precision, recall, and accuracy, while effectively balancing false positives and false negatives. Moreover, the Logistic Regression model offers the added advantage of being relatively straightforward to interpret, which can be valuable in certain scenarios.

In conclusion, considering the emphasis on F1 score and PR AUC, the Logistic Regression model emerges as the potential winner due to its robust performance across multiple metrics. It not only achieves high predictive accuracy but also provides interpretability, making it an apt choice for our analysis.